Bridge to Artificial Intelligence (Bridge2AI): Data Sets & Tools

Presentation Time: 02:00 PM - 03:15 PM

Abstract Keywords: Artificial Intelligence, Legal, Ethical, Social and Regulatory Issues, Patient / Person Generated Health Data (Patient Reported Outcomes), Privacy and Security
Primary Track: Foundations
Programmatic Theme: Clinical Informatics

This panel will discuss the data generation projects within the Bridge to Artificial Intelligence (Bridge2AI) program sponsored by the NIH. The goal of this program is to propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition. A key step is the generation of new “flagship” data sets that are ethically sourced, trustworthy, well-defined, and accessible, and corresponding tools. The biomedical research community generates a wealth of data, but most of these data are not easily suitable for machine learning. By bringing technological and biomedical experts together with clinicians and ethics experts, the Bridge2AI program will help bring solutions to this problem, including how to train the workforce to handle the data and properly apply the tools.

Moderator:
Lucila Ohno-Machado, M.D., PhD, MBA
Yale University

Speakers:
Cecilia Lee, MD, MS
University of Washington

Yael Bensoussan, MD
University of South Florida

Trey Ideker, MA, PhD
UCSD

Eric Rosenthal, MD
Massachusetts General Hospital

Authors:
Lucila Ohno-Machado, M.D., PhD, MBA - Yale University; Eric Rosenthal, MD - Massachusetts General Hospital; Cecilia Lee, MD - University of Washington; Yael Bensoussan, MD - University of South Florida; Trey Ideker, MA, PhD - UCSD;

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