Mendel Jacobs, MD: Preventive Cardiology & AI in Medicine
Internal medicine resident at Yale. I write about preventive cardiology and AI in medicine, and build tools that make cardiovascular health easier to understand.
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Recent Articles
View all postsHow the LDL Reduction Calculator Works: Methods and Evidence
Sep 16, 2026 · Cholesterol & Lipids

How to Evaluate a Clinical AI Tool: The Five Layers
Sep 12, 2026 · AI in Medicine

How Medical AI Got Graded: The Evolution of Clinical LLM Benchmarks
Sep 12, 2026 · AI in Medicine

OpenEvidence vs ChatGPT: Which Should a Clinician Actually Use?
Sep 12, 2026 · AI in Medicine

AI in Medicine Review: 6 Stories From August-September 2026
Sep 9, 2026 · AI in Medicine

Best Sketchy Pathology Anki Deck: Conaanaa's SALT Deck
Sep 9, 2026 · The White Coat
What I'm working on
AI in Medicine
Notes from the learning curve: clinical AI, evaluation, safety, workflow design, and tools that might actually help physicians and patients.
ExploreVital8 and Preventive Cardiology
A place to work through prevention, Life's Essential 8, and the practical tools that can make cardiovascular risk easier to understand.
ExploreThe White Coat
Frameworks, worksheets, and honest notes for medical students and residents trying to feel a little less lost on the wards.
Explore
Vital8 is a data-informed framework centered on Life's Essential 8, the core factors that shape cardiovascular health and longevity.
Publications
View all publicationsAssociation of Rheumatoid Arthritis with Major Adverse Cardiovascular Events Despite Normal Myocardial Perfusion Imaging
American Journal of Preventive Cardiology
Evaluating the Quality of Cardiovascular Disease Information From AI Chatbots: A Comparative Study
PMID: 40821349
Lipoprotein(a): A Review of Risk Factors, Measurements, and Novel Treatment Modalities
PMID: 38415744
Harnessing the Power of AI: A Comprehensive Review of Left Ventricular Ejection Fraction Assessment With Echocardiography
PMID: 38520327
Newsletter
Occasional essays and notes as I learn, write, and build around medicine, prevention, and AI.
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