ASSET/IBI Symposium on Trustworthy AI for Health Care

Organizers: Rajeev Alur (Penn Engineering), John Holmes (PSOM), Insup Lee (Penn Engineering), Qi Long (PSOM), Marylyn Richie (PSOM)

Event Description: Artificial intelligence and machine learning promise to revolutionize nearly every field, sifting through massive amounts of data to find insights that humans would miss, making faster and more accurate decisions and predictions as a result. Applying those insights to healthcare could yield life-saving benefits. Given the stakes, however, understanding exactly how these technologies arrive at their conclusions and having assurance guarantees, is critical for adoption in the practice of medicine. The goal of this symposium is to bring together researchers in artificial intelligence, biomedical informatics, machine learning, and clinical practitioners to develop trustworthy AI technology for health care applications. This day-long symposium is co-organized by ASSET, a new Penn Engineering center on Trustworthy AI and IBI, Institute for Biomedical Informatics, housed in Perelman School of Medicine (PSOM). The program will consist of a keynote by Prof. Tina Hernandez-Boussard of Stanford University, talks by Penn faculty on collaborative research in trustworthy AI for health care (see list of projects here), students’ posters, and a panel.

Agenda:

8:00 AM: Breakfast and registration

8:30 AM: Welcome by Jonathan Epstein, Executive Vice Dean and Chief Scientific Officer, Perelman School of Medicine and David Meaney, Senior Associate Dean, Penn Engineering

8:40 AM: Introduction to research at Penn in Trustworthy AI for healthcare: Rajeev Alur (Director, ASSET) and Marylyn Ritchie (Director, IBI)

9:10 AM: Keynote: “Creating and Evaluating Ethical AI for Health Decisions” Professor Tina Hernandez-Boussard, Stanford University

10:00 AM: Coffee break

10:20 AM: SEAS/PSOM Collaborative Research Presentations I; Chair: Insup Lee

10:20 AM: “Combining Domain Knowledge and Data-Driven AI for Building Healthcare Applications with Scallop” Mayur Naik

10:45 AM: “Utilizing Deep Learning to Diagnose Glaucoma from Fundus Photography in African Ancestry Individuals” Osbert Bastani, Rebecca Salowe, and Joan O’Brien

11:10 AM: “Personalized medicine for hypertensive pregnancy disorders” Paris Pedikaris, Walter Witschey, and Nadav Schwartz

11:35 AM: Lightning talks on poster presentations

12:15 PM: Lunch and posters

1:45 PM: SEAS/PSOM Collaborative Research Presentations II; Chair: Qi Long

1:45 PM: “Multimodal explainable AI for prognostic stratification of glioblastoma patients” MacLean Nasrallah, Bhakti Baheti, and Sunny Rai

2:10 PM: “Optimizing clinical monitoring for delivery room resuscitation using novel interpretable AI” Elizabeth Foglia and Kieran Murphy

2:35 PM: “Calibrated machine learning methods for mobile health intervention” Ian Barnett, Edgar Dobriban, and Pratik Chaudhari

3:00 PM: “Trustworthy explainable AI to revolutionize breast cancer risk assessment with digital breast tomosynthesis” Despina Kontos and Lyle Ungar

3:25 PM: Coffee break

3:45 PM: Panel on “Transitioning Research into Practice”, Chair: John Holmes

Allison Dennis; Program Officer, NIH

Bill Hanson; Chief Medical Information Officer, UPHS

Jennifer Roberts; Director, Resilient Systems, ARPA-H

Srinivas Sridhara; Chief Data and Analytics Officer, UPHS

Goli Yamini; Associate Program Director, NSF  

Zoom for Panel: https://upenn.zoom.us/j/96075553356

5:00 PM: Reception

6:00 PM: Symposium concludes

Registration:

The registration is free and open to all members of the Penn community. Fill out the form to register. Please note that space is limited, and we encourage you to register ASAP. Deadline to register is Friday, September 22nd. 

Poster Submissions:

We welcome junior researchers at Penn (i.e. doctoral and postdoctoral students, trainees, junior faculty) to present their work related to the workshop theme during the poster session. Fill out the form to submit a poster by Friday, September 15th. Please note that we can accommodate only a fixed number of posters, and we will notify the authors of accepted posters by Friday, September 22nd.