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Frontier of AI-Assisted Care (FAC) Scientific Symposium

Stanford, CA || September 18-19, 2019

Thank you for attending FAC 2019

We want to celebrate the connections made at this event. Please share with us any collaborations or partnerships that sprouted from your time at the symposium

Send all information to Sara Kelly at sskelly@stanford.edu. 

Learn more about the Partnership in AI-Assisted Care.

Learn more about the Clinical Excellence Research Center.

Symposium Overview

The Frontier of AI-Assisted Care (FAC) Scientific Symposium aims to accelerate progress in methods and applications of artificial intelligence (AI) that enable excellent healthcare at a lower cost, by convening the most accomplished university and industry research teams. The symposium is co-hosted by Stanford faculty members Fei Fei Li and Arnold Milstein, with the generous support of the Gordon and Betty Moore Foundation, the National Science Foundation, Nature Medicine and Stanford Human-Centered AI.

Our purpose is to promote collaboration among researchers sharing the vision of a computer-assisted, rapid learning healthcare system that eliminates what the National Academies describe as “a chasm” between potential and actual efficiency and quality of care.

The symposium content will be based upon submitted abstracts. Abstracts are assessed by the editorial team of Nature Medicine and its scientific committee.  In six topic areas (see below) we invite one author from the top two-rated abstracts to give a 10-minute presentation. Two authors in each topic will be invited to the stage for a moderated discussion. Selected submissions have the opportunity to present a poster.

Abstract Topics

Topic 1: AI to improve accuracy of diagnosis and health risk assessment

E.g. machine-assisted interpretation of medical images, pathology slides, or other health data to arrive at a diagnosis or asertain health risk.

Topic 2: AI to improve selection of treatment options

E.g. machine-assisted treatment decisions where no high-grade trial evidence exists.  

Topic 3: AI to improve step-by-step clinical pathways used to apply treatments

E.g. software-based clinical pathways for cancer care.

Topic 4: AI to detect and correct failures in clinician, patient and lay care-giver treatment actions inside and outside of healthcare facilities

E.g. use of sensors in inpatient and home settings to detect failures in intended physical actions such as administration of prescribed medications.

Topic 5: Innovation in AI methods that increase AI's capacity to improve healthcare

E.g. use of novel statistical methods and/or data sets to infer changes in patients' health goals.

Topic 6: AI to improve patients' ability to self-assess symptoms, select and implement self-care options to avoid use of or more successfully partner with health care professionals

E.g. uses of AI that enable patients to be more effective in diagnosis, and/or treatment option selection.

Call for Abstracts: Now Closed

Thank you for your interest. The call for abstracts is now closed. The review process is underway by the editorial team of Nature Medicine. Please join our mailing list to be notified of future opportunities.

Calendar

September 18-19, 2019

Our two day symposium will cover 6 topics, featuring 18 competitively selected panelists

See full schedule

Program Chairs

This is event is hosted by Professors Fei-Fei Li and Arnold Milstein of Stanford

  • Fei-Fei Li, Ph.D.

    Fei-Fei Li, Ph.D.


    Co-Director, Stanford Human-Centered AI (HAI) Institute

    Professor of Computer Science

    View profile

  • Arnold Milstein, M.D., M.P.H.

    Arnold Milstein, M.D., M.P.H.


    Director, Clinical Excellence Research Center

    Professor of Medicine

    View profile

Hosted By

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In Collaboration With

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Questions? Email sskelly@stanford.edu for more information.

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