About OpenEvidence

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. OpenEvidence.com is not licensed for use in institutional settings.

A drawing of a girl in a white labcoat looking through an antique microscope

At OpenEvidence, our mission is to organize the world's medical knowledge and make it more useful, open, accessible, and understandable.

Team

Daniel Nadler

Harvard University Ph.D.

Founded Kensho Technologies, the most valuable A.I. acquisition in history (beating the previous record held by DeepMind)

Zachary Ziegler

Harvard University Ph.D. Candidate

Worked with Alexander Rush

Jonas Wulff

MIT Post-Doc

MPI for Intelligent Systems Ph.D.

Worked with Antonio Torralba

Micah Smith

MIT Ph.D.

Worked with Kalyan Veeramachaneni, Saman Amarasinghe, and Rob Miller

Evan Hernandez

MIT Ph.D. Candidate

Working with Jacob Andreas

Eric Lehman

MIT Ph.D. Candidate

Working with Peter Szolovits

Helena Hu

MIT Ph.D. Candidate

Working with Ed Boyden

Jessica Xu

MIT Ph.D.

Worked with Stephen L. Buchwald and Klavs F. Jensen

Fernanda Ferreira

Harvard Medical School Ph.D.

James Esdaile

Harvard University Ph.D.

Kensho Technologies Alum

Andy Yoon

Lead Front-end Engineer

Nicole Liang

M.Eng., Computer Science, Cornell Tech, Cornell University

Ethan Joseph

M.Eng., Computer Science, Cornell Tech, Cornell University

Timothy Ngotiaoco

B.S., Computer Science and Mathematics, MIT

Jagath Jai Kumar

Formerly @ Google

Danny Gelman

B.S., Computer Science, MIT

Oliver Ren

M.Eng., Computer Science, MIT

Stephen Polcyn

B.S.E., Computer Science, Princeton University

Kinan Alsheikh

B.A., Computer Science, Cornell University

Formerly @ Meta

Varun Mangalick

B.S., Computer Science and Math, MIT

Formerly @ Jane Street

Medical Advisors

Dr. Ram Dandillaya, M.D., FACC

Clinical Chief, Cardiology, Cedars-Sinai Medical Center

Dr. Antonio J. Forte, M.D., Ph.D.

Faculty, Mayo Clinic

Dr. Forte leads the Tissue Regeneration and Individualized Biomedical Engineering Laboratory at Mayo Clinic

Dr. Michael Sughrue, M.D.

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

Dr. Travis Zack, M.D., Ph.D.

M.D., Ph.D., Harvard University

Oncology Research Fellow, University of California San Francisco

Dr. John J. Lee, M.D.

Faculty, Harvard Medical School

Advisors and Collaborators

Dr. Daniel Kahneman

Nobel Prize Laureate

Professor Emeritus of Psychology at Princeton University

Author of Thinking, Fast and Slow

Alexander Rush

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


Values

Evidence-based

OpenEvidence’s data comes directly from scientific primary sources – high-quality, peer-reviewed studies published in leading medical journals

Independent

Unbiased analysis based on public verifiable information

Open

Free and universally accessible

Complete

All the most rigorous evidence in one place, not cherry-picked studies to support an argument or medical opinion

Up-to-date

Medicine is evolving faster-than-ever and OpenEvidence's living analysis stays up-to-date along with it

Accurate

PhD-level fact-checking and world-class medical review of every article


References