The leading AI-powered medical information platform.
Launched during the Mayo Clinic Platform Accelerate program
Featured by the New England Journal of Medicine AI
Our mission is to organize the world’s medical knowledge and make it more useful, open, accessible, and understandable.
OpenEvidence is what we always imagined when we used to talk about someone finally solving medical search.
Information overload is an extreme challenge in medicine.
The amount of medical research published annually is doubling every 5 years.[1] Such a rate of change makes it nearly impossible for the world’s physicians, medical researchers, and healthcare professionals to monitor and understand all the latest research literature and clinical evidence relevant to their work.
To tame the medical information firehose, we built OpenEvidence, an artificial intelligence system to aggregate, synthesize, and visualize clinically relevant evidence in understandable, accessible formats that can be used to make more evidenced-based decisions and improve patient outcomes.
Team
PhD, Harvard
Founded Kensho Technologies, the most valuable AI acquisition in history (beating the previous record held by DeepMind)
PhD Candidate, Harvard
Worked with Alexander Rush
Post-Doc, MIT
PhD, MPI for Intelligent Systems
Worked with Antonio Torralba
PhD, MIT
Worked with Kalyan Veeramachaneni
PhD, MIT
Worked with Jacob Andreas
PhD, MIT
Worked with Peter Szolovits
PhD, MIT
Worked with Stephen L. Buchwald and Klavs F. Jensen
PhD, Harvard
PhD, Harvard
Formerly @ Kensho Technologies
PhD Candidate, MIT
Working with Ed Boyden
Post-Doc, Stanford
PhD, University of Milano-Bicocca
Worked with Dan Jurafsky and James Zou
BS, Computer Science, UCLA
MEng, Computer Science, Cornell Tech
MEng, Computer Science, Cornell Tech
MS, Computer Science, UMass Amherst
Formerly @ Google
MEng, Computer Science, MIT
BSE, Computer Science, Princeton
BS, Computer Science and Mathematics, MIT
Formerly @ Jane Street
BA, Statistics, Harvard
Medical Advisors
Clinical Chief, Cardiology, Cedars-Sinai
Faculty, Mayo Clinic
Vice Chair for Research, Department of Surgery, Mayo Clinic
MD, Columbia
3000+ brain surgeries performed
Oncology Faculty, UCSF
MD, PhD, Harvard Medical School
Faculty, Harvard Medical School
Faculty, UW Medicine
MD, Harvard Medical School
MD, PhD, Harvard Medical School
Vice Chair, Department of Rheumatic and Immunologic Diseases, Cleveland Clinic
Vice Chair, Department of Neurology, Massachusetts General Hospital
Collaborators
Nobel Prize Laureate
Professor Emeritus, Princeton
Author of Thinking, Fast and Slow
Computer Science Faculty, Cornell
Former Computer Science Faculty, Harvard
Post-Doc, FAIR; Worked with Yann LeCunn
PhD, MIT