Eric Topol
Eric Topol is a medical researcher whose work focuses heavily on the application and evaluation of artificial intelligence and digital technologies across healthcare. His published research explores clinical AI foundation models, dynamic AI evaluation, robotic surgery, and biological aging clocks. Additionally, he has published studies on multi-cancer early detection, COVID-19 treatments, metabolic mechanisms in neurodegeneration, and appraisals of the wellness industry.
59 claims checked on air: 1 context 1 contradicted 11 overstated 41 supported 5 unverified
What they said on air - overstated
Artificial intelligence analysis of retinal photographs can predict the onset of Alzheimer's disease 5 to 7 years in advance.
"You can do a retina AI exam. So I have a picture of the retina and you do AI on it, and it tells you when you're going to have Alzheimer's, if you're going to have Alzheimer's 5 to 7 years in advance." (said at 0:27:20)
Large prospective cohort studies (including data from the UK Biobank) demonstrate that artificial intelligence and deep-learning models applied to retinal photographs or optical coherence tomography can identify retinal structural features and biological aging markers associated with an increased relative risk of developing Alzheimer's disease or dementia years (e.g., 5 to 12 years) before clinical diagnosis. However, framing this as a ready clinical exam that deterministically "tells you when you're going to have Alzheimer's, if you're going to have Alzheimer's" significantly overstates the evidence. Current AI retinal models quantify statistical risk and biological vulnerability in research cohorts; they are not clinically diagnostic or deterministic prognostic tests for individual patients.
- partial: A deep-learning retinal aging biomarker for cognitive decline and incident dementia. (Alzheimer's & dementia : the journal of the Alzheimer's Association 2025) · cited 20x in the literature
"RetiPhenoAge, a retinal aging biomarker, was derived from retinal photographs using deep-learning... In the UK Biobank (N = 33 495), RetiPhenoAge similarly predicted incident dementia (SHR 1.25, 95% CI 1.09-1.41, p = 0.008)... RetiPhenoAge may provide a non-invasive prognostic screening tool for cognitive decline and dementia." (abstract, methods and results)
pubmedfull study (doi) - partial: Prediction of Alzheimer's disease risk factors from retinal images via deep learning: Deve… (Journal of Alzheimer's disease : JAD 2026)
"Several saliency-based scores differed significantly between incident AD and matched controls, suggesting potential overlap between retinal correlates of AD-related risk factors and preclinical AD-associated changes. Conclusions: CFP encodes retinal signatures linked to AD risk factors. Although not diagnostic, DL-derived retinal representations may uncover biologically meaningful risk-related structural changes mirroring the potential AD vulnerability." (abstract, results and conclusions, passage verified)
pubmedfull study (doi)
Statins cause severe leg cramps and muscle-related symptoms in patients.
"Some of the data that comes out of these big meta-analyses, which say, "Oh, people don't get any leg cramps." That's not true. You and I know that's not true. People do get severe leg cramps where they can't even sleep at night, you know, uh, and and all sorts of other, you know, leg, uh, and muscle-related symptoms." (said at 0:32:24)
While statin therapy is causally associated with a small excess rate of muscle pain or weakness, the severity and frequency attributed to statins are significantly overstated. A comprehensive individual participant data meta-analysis of 19 large double-blind, placebo-controlled randomized trials (n=123,940) by the Cholesterol Treatment Trialists' Collaboration found that statins caused a small excess of mostly mild muscle symptoms during the first year of treatment (absolute excess of 11 events per 1,000 person-years; rate ratio 1.07). However, after the first year, there was no significant excess risk, and more than 90% of all muscle symptom reports among statin-treated participants were not attributable to the drug, occurring at near-identical rates in the placebo groups (nocebo/drucebo effect and background prevalence). Severe muscle damage (such as rhabdomyolysis or severe myopathy) is very rare.
Failing to lower LDL cholesterol below 100 mg/dL or 70 mg/dL places individuals at higher risk for dementia.
"if you don't have the LDL lowered to let's say less than 100, less than 70, you're going to be at higher risk for dementia." (said at 0:33:00)
While some observational cohort analyses find that individuals with LDL cholesterol levels below 70 mg/dL have lower rates of incident dementia compared to those with higher levels, randomized controlled trial evidence does not support the claim that actively lowering LDL cholesterol to specific targets (e.g., <100 or <70 mg/dL) reduces dementia risk. Cochrane systematic reviews of randomized trials evaluating statin-induced LDL lowering found no significant reduction in the incidence of dementia or Alzheimer's disease, and trial data from PCSK9 inhibitor studies similarly show no significant effect on dementia outcomes.
- contradicts: Statins for the prevention of dementia. (The Cochrane database of systematic reviews 2009) · cited 193x in the literature
"There is good evidence from RCTs that statins given in late life to individuals at risk of vascular disease have no effect in preventing AD or dementia. Biologically it seems feasible that statins could prevent dementia due to their role in cholesterol reduction and initial evidence from observational studies was very promising. Indication bias may have been a factor in these studies however and the evidence from subsequent RCTs has been negative." (abstract, conclusions, passage verified)
pubmedfull study (doi) - partial: Low-density lipoprotein cholesterol levels and risk of incident dementia: a distributed ne… (Journal of neurology, neurosurgery, and psychiatry 2025) · cited 10x in the literature
"The LDL-C levels below 70 mg/dL (1.8 mmol/L) were associated with a 26% reduction in the risk of all-cause dementia and a 28% reduction in the risk of ADRD, compared with levels above 130 mg/dL (3.4 mmol/L)." (abstract, results, passage verified)
pubmedfull study (doi) - contradicts: Association between PCSK9 targeted therapy and the risk of stroke and dementia: A meta-ana… (The American journal of medicine 2026)
"However, no significant association was observed for the risk of hemorrhagic stroke (OR, 1.16 (95%CI: 0.70-1.93), P = 0.56), transient ischemic attack (OR, 0.98 (95%CI: 0.48-2.06), P = 0.95), dementia (OR, 0.77 (95%CI: 0.14-4.28), P = 0.76), dementia of Alzheimer's type (OR, 0.81 (95%CI: 0.14-4.70), P = 0.82), and Parkinson's disease (OR, 0.82 (95%CI: 0.11-6.37), P = 0.85)." (abstract, results, passage verified)
pubmedfull study (doi)
Plasma p-tau217 levels begin to rise 20 years before the onset of mild cognitive impairment.
"p-tau217 is the very first one that goes up and it starts 20 years before mild cognitive impairment. 20 years." (said at 0:00:06)
The speaker bundles two claims: that plasma p-tau217 is the 'very first' biomarker to change, and that it rises approximately 20 years before the onset of mild cognitive impairment (MCI). Longitudinal cohort data, such as a 25-year follow-up from the Women's Health Initiative Memory Study (PMID: 41805953), confirm that elevated baseline plasma p-tau217 levels are significantly associated with incident MCI and dementia up to 20 to 25 years before clinical manifestation. However, p-tau217 is not the 'very first' biomarker to become abnormal along the Alzheimer's disease continuum; trajectory modeling demonstrates that reductions in the plasma Aβ42/Aβ40 ratio precede increases in plasma phosphorylated tau species (PMID: 40539416).
- contradicts: Timing of Changes in Alzheimer's Disease Plasma Biomarkers as Assessed by Amyloid and Tau … (Annals of neurology 2025) · cited 30x in the literature
"All plasma biomarkers except NfL became abnormal prior to established thresholds for amyloid and tau PET positivity. Plasma Aβ42/Aβ40 became abnormal very early in both amyloid PET and tau PET timelines, while plasma GFAP became abnormal early in the tau PET timeline. Plasma Aβ42/Aβ40 levels plateaued, whereas plasma p-tau217, p-tau181, GFAP, and NfL levels increased throughout the modeled disease progression." (abstract, results, passage verified)
pubmedfull study (doi) - supports: Plasma Phosphorylated Tau 217 and Incident Mild Cognitive Impairment and Dementia in Older… (JAMA network open 2026) · cited 5x in the literature
"In this cohort study of cognitively unimpaired older women, p-tau217 was associated with incident MCI or dementia up to 25 years later." (abstract, results, passage verified)
pubmedfull study (doi)
Blood-based p-tau217 testing performs as accurately as cerebrospinal fluid analysis and PET tau neuroimaging for Alzheimer's biomarker detection.
"because it's as good as a cerebrospinal fluid, it's as good as a PET tau scan, you know, which is a lot of radiation and hard to get" (said at 0:22:45)
While blood-based phosphorylated tau 217 (p-tau217) is an accurate biomarker for identifying Alzheimer's disease pathology (amyloid-beta positivity) and approaches the diagnostic accuracy of cerebrospinal fluid (CSF) testing in clinical screening, asserting that it is universally 'as good as a PET tau scan' is overstated. Cohort studies demonstrate that plasma p-tau217 assays primarily reflect early soluble tau phosphorylation in response to amyloid rather than the anatomical distribution or severity of insoluble neurofibrillary tangle pathology. For differentiating late-stage tau accumulation (A+T+ from A+T-), the accuracy of plasma p-tau217 assays decreases significantly (AUC 0.69–0.77), where tau-PET imaging remains the standard for staging.
- context: Blood-based biomarkers for detecting Alzheimer's disease pathology in cognitively impaired… (Alzheimer's & dementia : the journal of the Alzheimer's Association 2025) · cited 25x in the literature
"Across 49 observational studies meeting eligibility criteria, 31 different BBM tests were examined. When evaluated using a single cut-point, the diagnostic test accuracy varied considerably across tests: the pooled sensitivity ranged from 49.3% (95% confidence interval [CI]: 41.2-57.4) to 91.4% (95% CI: 86.6-94.6), and the pooled specificity ranged from 61.5% (95% CI: 45.6-75.3) to 96.7% (95% CI: 87.8-99.2)." (abstract, results, passage verified)
pubmedfull study (doi) - contradicts: Plasma p-tau217 assays effectively predict amyloid status but lack precision for tau stagi… (Journal of neurology 2026)
"When distinguishing A + from A - T - participants, p-tau217 assays achieved the highest accuracy (AUC range: 0.85-0.91), outperforming other plasma biomarkers (AUC range: 0.66-0.81). However, the accuracy of plasma biomarkers, including p-tau217 assays, significantly decreased when differentiating A + T + from A + T - stages (AUC for p-tau217 assays: 0.69-0.77; AUC for other plasma biomarkers: 0.53-0.67; P < 0.05)... Our study found that among currently available commercial plasma assays, including p-tau217 assays, they demonstrate high accuracy in classifying Aβ status but are less accurate in assessing tau pathology severity in Aβ positive individuals." (abstract, results, passage verified)
pubmedfull study (doi)
In clinical trials, diabetic patients on GLP-1 drugs only lose 3 to 4 pounds on average, whereas non-diabetic individuals with obesity lose 40 to 80 pounds.
"And they kept saying to her, 'Well, Lotte, it's not going to work because the diabet- the diabetics only lose three or four pounds.' Well, now we see they we can get people to lose, you know, 40, 50, 60, 80 pounds. These drugs are so potent, and the reason we we it was blown was because the diabetics don't lose that weight" (said at 0:27:10)
While clinical trials consistently show that patients with type 2 diabetes experience somewhat less weight loss on GLP-1 receptor agonists than individuals without diabetes, the claimed disparity (3–4 pounds vs. 40–80 pounds) is a substantial exaggeration. In Phase 3 randomized trials of semaglutide 2.4 mg, adults with type 2 diabetes achieved an average weight loss of approximately 9.6% to 10% (around 20–22 pounds, as in the STEP 2 trial), far exceeding 3 to 4 pounds. Meanwhile, non-diabetic adults with overweight or obesity average approximately 15% to 17% weight loss (about 33–37 pounds across STEP 1, 3, and 5), rather than an average loss of 40 to 80 pounds.
- contradicts: Semaglutide 2·4 mg once a week in adults with overweight or obesity, and type 2 diabetes (… (Lancet (London, England) 2021) · cited 1360x in the literature
"Estimated change in mean bodyweight from baseline to week 68 was -9·6% (SE 0·4) with semaglutide 2·4 mg vs -3·4% (0·4) with placebo." (abstract, results, passage verified)
pubmedfull study (doi) - context: Semaglutide in obesity and type 2 diabetes: A review of clinical trial evidence from 1 to … (Indian journal of pharmacology 2026)
"In nondiabetic participants (STEP 1, 3, and 4), semaglutide led to average weight reductions between 10% and 17%, while in patients with T2DM (STEP 2), the reduction was around 10%." (abstract, results, passage verified)
pubmedfull study (doi)
The United States has the highest consumption of ultra-processed food in the world, with average consumption exceeding 70% of total diet and many individuals consuming 80% or more.
"and the US has the highest consumption in the world, 70% plus. And of course, a lot of people are 80% or more." (said at 0:30:44)
While systematic reviews confirm that the United States and the United Kingdom have the highest ultra-processed food (UPF) consumption rates internationally (generally exceeding 50% of total caloric intake), the speaker substantially overstates average US intake levels. Nationally representative data from NHANES show that the average contribution of UPFs to total energy intake is approximately 53% among adults and 62% among youth (overall average near 57–60%), well below the claimed average of '70% plus'.
GLP-1 receptor agonists reduce cardiovascular inflammation prior to weight loss and prevent heart failure with preserved ejection fraction (HFpEF).
"We've already seen how GLP-1 drugs do that before any weight loss. So that should work well in people who aren't even obese, and we've seen how that can prevent heart—preserve ejection fraction heart failure, which is half of all heart failure, right? GLP-1s prevent that." (said at 0:53:25)
Glucagon-like peptide-1 receptor agonists (GLP-1 RAs), such as semaglutide, demonstrate significant anti-inflammatory effects that occur partly independent of the magnitude of weight loss. In the STEP-HFpEF program (STEP-HFpEF and STEP-HFpEF DM randomized controlled trials), semaglutide significantly reduced C-reactive protein (CRP) levels, improved heart failure symptoms and physical limitations, and in pooled analyses reduced worsening heart failure events in patients with established heart failure with preserved ejection fraction (HFpEF). However, stating that GLP-1 drugs 'prevent HFpEF' and 'should work well in people who aren't even obese' overstates the evidence. The pivotal clinical trials specifically enrolled individuals with overweight or obesity (e.g., BMI ≥30 kg/m²), and evaluated the management of established obesity-related HFpEF and secondary worsening events rather than primary prevention in non-obese populations.
- partial: Semaglutide versus placebo in people with obesity-related heart failure with preserved eje… (Lancet (London, England) 2024) · cited 349x in the literature
"In this prespecified pooled analysis of the STEP-HFpEF and STEP-HFpEF DM trials, semaglutide was superior to placebo in improving heart failure-related symptoms and physical limitations, and reducing bodyweight in participants with obesity-related heart failure with preserved ejection fraction." (abstract, conclusions, passage verified)
pubmedfull study (doi) - supports: Inflammation in Obesity-Related HFpEF: The STEP-HFpEF Program. (Journal of the American College of Cardiology 2024) · cited 86x in the literature
"Semaglutide also reduced inflammation, regardless of either baseline CRP or magnitude of weight loss during the trials." (abstract, conclusions, passage verified)
pubmedfull study (doi) - partial: Semaglutide versus placebo in patients with heart failure and mildly reduced or preserved … (Lancet (London, England) 2024) · cited 295x in the literature
"In patients with HFpEF, semaglutide reduced the risk of the combined endpoint of cardiovascular death or worsening heart failure events, and worsening heart failure events alone, whereas its effect on cardiovascular death alone was not significant." (abstract, conclusions, passage verified)
pubmedfull study (doi)
AI analysis of retinal photographs can predict the onset of Alzheimer's disease 5 to 7 years in advance.
"So I have a picture of the retina and you do AI on it, and it tells you when you're going to have Alzheimer's, if you're going to have Alzheimer's 5 to 7 years in advance." (said at 0:54:07)
While research using deep learning on retinal imaging (such as fundus photography and optical coherence tomography) shows that retinal microvascular and structural features are associated with neurodegenerative risk factors and preclinical changes years before diagnosis, artificial intelligence cannot deterministically predict whether or precisely when an individual will develop Alzheimer's disease 5 to 7 years in advance. Existing deep learning models are investigational tools evaluated in large research cohorts (such as the UK Biobank) that demonstrate statistical risk associations and classification capabilities, but they are not validated clinical diagnostic tools that pinpoint future Alzheimer's onset.
- context: Insights into Systemic Disease through Retinal Imaging-Based Oculomics. (Translational vision science & technology 2020) · cited 304x in the literature
"Similarly, the association between the structure of the neurosensory retina and prevalent neurodegenerative disease, in particular Alzheimer's disease, is now well-established. Given the growing size and complexity of emerging multimodal datasets, modern artificial intelligence techniques, such as deep learning, may provide the optimal opportunity to further characterize these associations, enhance our understanding of eye-body relationships and secure novel scalable approaches to the risk stratification of chronic complex disorders of ageing." (abstract, passage verified)
pubmedfull study (doi) - partial: Prediction of Alzheimer's disease risk factors from retinal images via deep learning: Deve… (Journal of Alzheimer's disease : JAD 2026)
"Several saliency-based scores differed significantly between incident AD and matched controls, suggesting potential overlap between retinal correlates of AD-related risk factors and preclinical AD-associated changes. Conclusions: CFP encodes retinal signatures linked to AD risk factors. Although not diagnostic, DL-derived retinal representations may uncover biologically meaningful risk-related structural changes mirroring the potential AD vulnerability." (abstract, results and conclusions, passage verified)
pubmedfull study (doi)
Failure to lower LDL cholesterol below 100 mg/dL or 70 mg/dL is associated with an increased risk of developing dementia.
"and Alzheimer's, as you know, accounts for 70% of dementia—that if you don't have the LDL lowered to, let's say, less than 100, less than 70, you're going to be at higher risk for dementia." (said at 1:00:15)
While observational studies and meta-analyses indicate that elevated midlife LDL cholesterol (e.g., >121 mg/dL) is associated with an increased risk of Alzheimer's disease, there is no evidence establishing that failing to achieve specific cardiovascular targets (<100 mg/dL or <70 mg/dL) increases dementia risk. Furthermore, an individual participant data meta-analysis of over 21,000 older adults found no significant association between LDL cholesterol levels and incident dementia or cognitive decline, and meta-analyses of randomized trials of intensive LDL-lowering therapies (such as PCSK9 inhibitors) have not shown a statistically significant reduction in the risk of dementia or Alzheimer's disease.
- partial: Low-Density Lipoprotein Cholesterol and Alzheimer's Disease: A Systematic Review and Meta-… (Frontiers in aging neuroscience 2020) · cited 81x in the literature
"The concentrations of LDL-c during the quintile interval of 3~4 were positively associated with AD (121 ≤ concentration < 137: SMD = 0.98, 95% CI 0.13~1.82, p = 0.02; ≥137: SMD = 0.62, 95% CI 0.18~1.06, p < 0.01); whereas there was no correlation between AD and LDL-c within the quintile interval of 1~2 (103.9 ≤ concentration < 112: SMD = 0.08, 95% CI -0.20~0.35, p = 0.59; 112 ≤ concentration < 121: SMD = -0.26, 95% CI -0.58~0.06, p = 0.11). Conclusions: Elevated concentration of LDL-c (>121 mg/dl) may be a potential risk factor for AD. This association is strong in patients aged 60-70 years, but vanishes with advancing age." (abstract, results and conclusions, passage verified)
pubmedfull study (doi) - contradicts: Evaluation of High Cholesterol and Risk of Dementia and Cognitive Decline in Older Adults … (Dementia and geriatric cognitive disorders 2021) · cited 52x in the literature
"Meta-analyses found no relationship between total, HDL, or LDL cholesterol (per millimoles per litre increase) and risk of cognitive decline in this older adult group averaging 76 years of age... There were no clear consistent relationships between cholesterol and cognitive decline or dementia in this older adult group, nor was there evidence of effect modification by statin use." (abstract, results and conclusions)
pubmedfull study (doi) - contradicts: Association between PCSK9 targeted therapy and the risk of stroke and dementia: A meta-ana… (The American journal of medicine 2026)
"A total of 22 RCTs with 64,116 patients were included in the study... However, no significant association was observed for the risk of hemorrhagic stroke (OR, 1.16 (95%CI: 0.70-1.93), P = 0.56), transient ischemic attack (OR, 0.98 (95%CI: 0.48-2.06), P = 0.95), dementia (OR, 0.77 (95%CI: 0.14-4.28), P = 0.76), dementia of Alzheimer's type (OR, 0.81 (95%CI: 0.14-4.70), P = 0.82)" (abstract, results)
pubmedfull study (doi)
Personalized neoantigen vaccines have achieved cures in patients with treatment-refractory pancreatic cancer and renal cell carcinoma.
"personalized neoantigen vaccines to cure pancreatic cancer, to cure renal cell carcinoma, intractable, that is people that failed everything else." (said at 1:10:54)
Personalized neoantigen vaccines have shown promising immunogenicity and improved recurrence-free survival in early phase I clinical trials, but they have not been shown to 'cure' pancreatic cancer or renal cell carcinoma (RCC), nor were the landmark trials conducted in patients with intractable disease who had failed all other therapies. In a phase I trial for pancreatic ductal adenocarcinoma (PDAC), an individualized mRNA neoantigen vaccine (autogene cevumeran) was administered as adjuvant therapy following complete surgical resection alongside chemotherapy and immunotherapy; 8 of 16 patients developed neoantigen-specific T-cell responses and experienced delayed disease recurrence, not confirmed cures. Similarly, a phase I trial of a neoantigen vaccine in RCC enrolled 9 patients with fully resected, high-risk disease in the adjuvant setting rather than treatment-refractory disease. These phase I trials demonstrate biological activity and preliminary feasibility in post-surgical settings, but neither establishes curative efficacy nor applies to intractable, end-stage disease.
- partial: Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer. (Nature 2023) · cited 1351x in the literature
"Here in a phase I trial of adjuvant autogene cevumeran, an individualized neoantigen vaccine based on uridine mRNA-lipoplex nanoparticles, we synthesized mRNA neoantigen vaccines in real time from surgically resected PDAC tumours. After surgery, we sequentially administered atezolizumab (an anti-PD-L1 immunotherapy), autogene cevumeran (a maximum of 20 neoantigens per patient) and a modified version of a four-drug chemotherapy regimen (mFOLFIRINOX)... At 18-month median follow-up, patients with vaccine-expanded T cells (responders) had a longer median recurrence-free survival (not reached) compared with patients without vaccine-expanded T cells (non-responders; 13.4 months, P = 0.003)." (abstract, results, passage verified)
pubmedfull study (doi) - partial: A neoantigen vaccine generates antitumour immunity in renal cell carcinoma. (Nature 2025) · cited 192x in the literature
"Here we conducted a phase I trial (ClinicalTrials.gov identifier NCT02950766) to test a neoantigen-targeting PCV in patients with high-risk, fully resected clear cell renal cell carcinoma (RCC; stage III or IV) with or without ipilimumab administered adjacent to the vaccine. At a median follow-up of 40.2 months after surgery, none of the 9 participants enrolled in the study had a recurrence of RCC." (abstract, results, passage verified)
pubmedfull study (doi)
Fact-checked episodes
Publications
- Multi-cancer early detection revisited: insights and lessons from the PATHFINDER 2 study.Clinical chemistry and laboratory medicine 2026 · CEBM Level 5
- Critically Appraising the Wellness Movement: Cost Without Value, A Narrative Review.Journal of general internal medicine 2026 · CEBM Level 5
- Trump one year on: How six US researchers plan to protect science amid chaos and cuts.Nature 2026 · CEBM Level 5
- Obesity as a catalyst for neurodegeneration.Nature metabolism 2026 · CEBM Level 5
- Decoding the language of sleep with artificial intelligence.Lancet (London, England) 2026 · CEBM Level 5
- Understanding pre-training data effects in retinal foundation models using two large fundus cohorts.Nature communications 2026 · CEBM Level 3
- A clinical environment simulator for dynamic AI evaluation.Nature medicine 2026 · CEBM Level 5
- Generalist biological artificial intelligence in modeling the language of life.Nature biotechnology 2026 · CEBM Level 5
- Mammography should include artificial intelligence support.Lancet (London, England) 2026 · CEBM Level 5
- Digitising the thymus.Lancet (London, England) 2026 · CEBM Level 5
- COVID-19 Rebound in Nirmatrelvir Plus Ritonavir Treatment and Control Groups: Prospective Cohort Study.Interactive journal of medical research 2026 · CEBM Level 3
- Large reasoning models as thinking machines for medicine.Nature biomedical engineering 2026 · CEBM Level 5
- Evaluating the robustness and readiness of large frontier models in health AI applications.Nature medicine 2026 · CEBM Level 4
- Biological aging clocks in health and disease.Nature medicine 2026 · CEBM Level 5
- Humanoid robots in the operating room: a framework for staged integration of embodied AI in surgery.NPJ digital medicine 2026 · CEBM Level 5
- Toward a test of medical AI superintelligence.Nature medicine 2026 · CEBM Level 5
- When physicians and AI work together, who is accountable? How to lay out medical liability.Nature 2026 · CEBM Level 5
- From Reactive Care to Predictive Prevention: Harnessing Technology to Transform Cardiovascular Care.Journal of the American College of Cardiology 2026 · CEBM Level 5
- Enabling equitable open access to commercially funded research publications.PLoS medicine 2026 · CEBM Level 5
- A clinical certification pathway for generalist medical AI systems.Lancet (London, England) 2025 · CEBM Level 5
- Advocating for a Master of Digital Health Degree.JAMA 2025 · CEBM Level 5
- Learning the language of life with AI.Science (New York, N.Y.) 2025 · CEBM Level 5
- The rise of agentic AI teammates in medicine.Lancet (London, England) 2025 · CEBM Level 5
- Artificial intelligence for modelling infectious disease epidemics.Nature 2025 · CEBM Level 5
- Is generative artificial intelligence capable of clinical reasoning?Lancet (London, England) 2025 · CEBM Level 5
- Multimodal generative AI for medical image interpretation.Nature 2025 · CEBM Level 5
- Coordinated AI agents for advancing healthcare.Nature biomedical engineering 2025 · CEBM Level 5
- A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics.Nature communications 2025 · CEBM Level 5
- Master of Digital Health Degree-Reply.JAMA 2025 · CEBM Level 5
- Predicting and preventing Alzheimer's disease.Science (New York, N.Y.) 2025 · CEBM Level 5
- A Randomized Trial of At-Home COVID-19 Tests, Telemedicine, and Rapid Prescription Delivery for Immunocompromised Individuals.Mayo Clinic proceedings. Innovations, quality & outcomes 2025 · CEBM Level 2
- Assessing generative artificial intelligence for mental health.Lancet (London, England) 2025 · CEBM Level 5
- A Model for Rapid Innovation for Engagement, Enrollment, and Data and Sample Collection in a Diverse Cohort Study: Insights from All of Us Participant Labs.Mayo Clinic proceedings. Digital health 2025 · CEBM Level 4
- The generative era of medical AI.Cell 2025 · CEBM Level 5
- Beyond Assistance: The Case for Role Separation in AI-Human Radiology Workflows.Radiology 2025 · CEBM Level 5
- Multimodal AI correlates of glucose spikes in people with normal glucose regulation, pre-diabetes and type 2 diabetes.Nature medicine 2025 · CEBM Level 3
- Preserving clinical skills in the age of AI assistance.Lancet (London, England) 2025 · CEBM Level 5
- Catalyzing Health AI by Fixing Payment Systems.NEJM AI 2025 · CEBM Level 5
- Toward the eradication of medical diagnostic errors.Science (New York, N.Y.) 2024 · CEBM Level 5
- AI-Enhanced Reconstruction of the 12-Lead Electrocardiogram via 3-Leads with Accurate Clinical Assessment.medRxiv : the preprint server for health sciences 2024 · CEBM Level 4
- Solving the puzzle of Long Covid.Science (New York, N.Y.) 2024 · CEBM Level 5
- The clinical potential of counterfactual AI models.Lancet (London, England) 2024 · CEBM Level 5
- The hospital at home in the USA: current status and future prospects.NPJ digital medicine 2024 · CEBM Level 5
- Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.Cell metabolism 2024 · CEBM Level 5
- Early detection of pancreatic cancer and AI risk partitioning.Lancet (London, England) 2024 · CEBM Level 5
- Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review.The Lancet. Digital health 2024 · CEBM Level 5
- Genome sequence analyses identify novel risk loci for multiple system atrophy.Neuron 2024 · CEBM Level 4
- AI-enabled opportunistic medical scan interpretation.Lancet (London, England) 2024 · CEBM Level 5
- Artificial intelligence in surgery.Nature medicine 2024 · CEBM Level 5
- Medical forecasting.Science (New York, N.Y.) 2024 · CEBM Level 5
- Three-year outcomes of post-acute sequelae of COVID-19.Nature medicine 2024 · CEBM Level 3
- Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.Journal of the American College of Cardiology 2024 · CEBM Level 5
- Academic Freedom in America - In Support of Institutional Voices.The New England journal of medicine 2024 · CEBM Level 5
- AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment.NPJ digital medicine 2024 · CEBM Level 3
- Digitising the ageing process with epigenetic clocks.Lancet (London, England) 2024 · CEBM Level 5
- Long COVID science, research and policy.Nature medicine 2024 · CEBM Level 5
- The potential for large language models to transform cardiovascular medicine.The Lancet. Digital health 2024 · CEBM Level 5
- Techquity: digital pathways to reach all people for medical research.Lancet (London, England) 2024 · CEBM Level 5
- Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.The Lancet. Digital health 2024 · CEBM Level 5
- The revolution in high-throughput proteomics and AI.Science (New York, N.Y.) 2024 · CEBM Level 5
- An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI.Nature medicine 2024 · CEBM Level 5
- A randomized trial of at-home COVID-19 tests, telemedicine, and rapid prescription delivery for immunocompromised individuals.Research square 2024 · CEBM Level 2
- Long COVID: major findings, mechanisms and recommendations.Nature reviews. Microbiology 2023 · CEBM Level 5
- PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare.Nature medicine 2023 · CEBM Level 5
- Digitising tremor.Lancet (London, England) 2023 · CEBM Level 5
- Foundation models for generalist medical artificial intelligence.Nature 2023 · CEBM Level 5
- Author Correction: Long COVID: major findings, mechanisms and recommendations.Nature reviews. Microbiology 2023 · CEBM Level 5
- Upending the model of AI adoption.Lancet (London, England) 2023 · CEBM Level 5
- The imperative for regulatory oversight of large language models (or generative AI) in healthcare.NPJ digital medicine 2023 · CEBM Level 5
- Rebooting cancer screening with artificial intelligence.Lancet (London, England) 2023 · CEBM Level 5
- Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease.Neurology 2023 · CEBM Level 3
- A foundation model for generalizable disease detection from retinal images.Nature 2023 · CEBM Level 4
- As artificial intelligence goes multimodal, medical applications multiply.Science (New York, N.Y.) 2023 · CEBM Level 5
- The Initial Steps of Multimodal AI in Radiology.Radiology 2023 · CEBM Level 5
- Machines and empathy in medicine.Lancet (London, England) 2023 · CEBM Level 5
- Digitising the outbreak.Lancet (London, England) 2023 · CEBM Level 5
- It's not too late.Science (New York, N.Y.) 2022 · CEBM Level 5
- AI in health and medicine.Nature medicine 2022 · CEBM Level 5
- Bridging the chasm between AI and clinical implementation.Lancet (London, England) 2022 · CEBM Level 5
- Impact of polygenic risk communication: an observational mobile application-based coronary artery disease study.NPJ digital medicine 2022 · CEBM Level 3
- AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK.BMJ open 2022 · CEBM Level 3
- Digitising the prediction and management of sepsis.Lancet (London, England) 2022 · CEBM Level 5
- 6 month serologic response to the Pfizer-BioNTech COVID-19 vaccine among healthcare workers.PloS one 2022 · CEBM Level 3
- Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands.NPJ digital medicine 2022 · CEBM Level 3
- Deep learning a person's risk of sudden cardiac death.Lancet (London, England) 2022 · CEBM Level 5
- Public Misinformation and Science Communication in Times of Public Health Crises.Clinical chemistry 2022 · CEBM Level 5
- Smartphone apps in the COVID-19 pandemic.Nature biotechnology 2022 · CEBM Level 5
- Digitising heart transplant rejection.Lancet (London, England) 2022 · CEBM Level 5
- Operation Nasal Vaccine-Lightning speed to counter COVID-19.Science immunology 2022 · CEBM Level 5
- The digital phenotype of vaccination.Nature biotechnology 2022 · CEBM Level 5
- Self-supervised learning in medicine and healthcare.Nature biomedical engineering 2022 · CEBM Level 5
- Multimodal biomedical AI.Nature medicine 2022 · CEBM Level 5
- Digitising brain age.Lancet (London, England) 2022 · CEBM Level 5
- Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study.The Lancet. Digital health 2022 · CEBM Level 3
- The Promise of Digital Health: Then, Now, and the Future.NAM perspectives 2022 · CEBM Level 5
- Variant-proof vaccines - invest now for the next pandemic.Nature 2021 · CEBM Level 5
- Prevalence of Asymptomatic SARS-CoV-2 Infection.Annals of internal medicine 2021 · CEBM Level 5
- What's lurking in your electrocardiogram?Lancet (London, England) 2021 · CEBM Level 5
- Assessing the human immune response to SARS-CoV-2 variants.Nature medicine 2021 · CEBM Level 5
- Conquering Atherosclerotic Cardiovascular Disease - 50 Years of Progress.The New England journal of medicine 2021 · CEBM Level 5
- Messenger RNA vaccines against SARS-CoV-2.Cell 2021 · CEBM Level 5
- AI-facilitated health care requires education of clinicians.Lancet (London, England) 2021 · CEBM Level 5
- The Physiologic Response to COVID-19 Vaccination.medRxiv : the preprint server for health sciences 2021 · CEBM Level 3
- Artificial intelligence, bias, and patients' perspectives.Lancet (London, England) 2021 · CEBM Level 5
- Has SARS-CoV-2 reached peak fitness?Nature medicine 2021 · CEBM Level 5
- Cardiac rehabilitation in the digital era.Lancet (London, England) 2021 · CEBM Level 5
- Assessment of Prolonged Physiological and Behavioral Changes Associated With COVID-19 Infection.JAMA network open 2021 · CEBM Level 3
- Radiation oncology 2.0.Lancet (London, England) 2021 · CEBM Level 5
- The Proportion of SARS-CoV-2 Infections That Are Asymptomatic.Annals of internal medicine 2021 · CEBM Level 5
- Three year clinical outcomes in a nationwide, observational, siteless clinical trial of atrial fibrillation screening-mHealth Screening to Prevent Strokes (mSToPS).PloS one 2021 · CEBM Level 2
- Digitising the vision test.Lancet (London, England) 2021 · CEBM Level 5
- From mRNA sensing to vaccines.Immunity 2021 · CEBM Level 5
- Readiness for mammography and artificial intelligence.Lancet (London, England) 2021 · CEBM Level 5
- Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms.NPJ digital medicine 2021 · CEBM Level 3
- COVID-19 vaccine breakthrough infections.Science (New York, N.Y.) 2021 · CEBM Level 5
- More than meets the eye: Using AI to identify reduced heart function by electrocardiograms.Med (New York, N.Y.) 2021 · CEBM Level 5
- Healthcare resource utilization following ECG sensor patch screening for atrial fibrillation.Heart rhythm O2 2020 · CEBM Level 3