Information overload is an extreme challenge in medicine.
The amount of medical research published annually is doubling every 5 years. 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 AI, 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.
Today, OpenEvidence AI powers ClinicalKey AI, a physician-grade clinical decision support system, and OpenEvidence.com. Healthcare professionals can rely on ClinicalKey AI for accuracy-critical tasks in point-of-care settings. ClinicalKey AI draws from trusted full-text sources for immediate answers to questions about drug dosing, side effects, curbside consults, treatment plans, and more.
Curious? You can explore a limited preview version on OpenEvidence.com, which answers medical questions from publicly available research papers. Use on OpenEvidence.com is not licensed for use in institutional settings.
At OpenEvidence, our mission is to organize the world's medical knowledge and make it more useful, open, accessible, and understandable.
Harvard University Ph.D.
Founded Kensho Technologies, the most valuable A.I. acquisition in history (beating the previous record held by DeepMind)
Harvard University Ph.D. Candidate
Worked with Alexander Rush
MIT Post-Doc
MPI for Intelligent Systems Ph.D.
Worked with Antonio Torralba
MIT Ph.D.
Worked with Kalyan Veeramachaneni, Saman Amarasinghe, and Rob Miller
MIT Ph.D. Candidate
Working with Jacob Andreas
MIT Ph.D. Candidate
Working with Peter Szolovits
Selected publication: “Inferring Which Medical Treatments Work from Reports of Clinical Trials”
Harvard Medical School Ph.D.
Harvard University Ph.D.
Kensho Technologies Alum
Lead Front-end Engineer
M.Eng., Computer Science, Cornell Tech, Cornell University
M.Eng., Computer Science, Cornell Tech, Cornell University
B.S., Computer Science and Mathematics, MIT
B.S., Computer Science, MIT
Formerly @ Google
B.S., Computer Science, MIT
B.A., Harvard University
MIT Ph.D. Candidate
Working with Ed Boyden
M.Eng., Computer Science, MIT
B.S.E., Computer Science, Princeton University
Clinical Chief, Cardiology, Cedars-Sinai Medical Center
Faculty, Mayo Clinic
Dr. Forte leads the Tissue Regeneration and Individualized Biomedical Engineering Laboratory at Mayo Clinic
M.D., Columbia University
Dr. Sughrue has performed over 3000 brain surgeries to date and has published almost 200 peer-reviewed medical publications about brain tumors
M.D., Ph.D., Harvard University
Oncology Research Fellow, University of California San Francisco
Faculty, Harvard Medical School
Nobel Prize Laureate
Professor Emeritus of Psychology at Princeton University
Author of Thinking, Fast and Slow
Associate Professor of Computer Science, Cornell University
Prev. Assistant Professor of Computer Science, Harvard University
FAIR Post-Doc; Advisor: Yann LeCunn
MIT Ph.D, Computer Science
OpenEvidence’s data comes directly from scientific primary sources – high-quality, peer-reviewed studies published in leading medical journals
Unbiased analysis based on public verifiable information
Free and universally accessible
All the most rigorous evidence in one place, not cherry-picked studies to support an argument or medical opinion
Medicine is evolving faster-than-ever and OpenEvidence's living analysis stays up-to-date along with it
PhD-level fact-checking and world-class medical review of every article