NEJM AI Grand Rounds

Dr. Lily Peng: AI for Ophthalmology and the Challenges of AI in the Real World

Feb 15, 2023

01:07:13

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Episode notes

Introduction

2min

How I Got Interested in AI

2min

How I Got Interested in Translational Research

2min

The Seminal Paper on Diabetic Retinopathy

4min

The Importance of Talking to Clinicians and Users

3min

The Importance of Annotation in Deep Learning

2min

How Google Supported a Project With High Impact

2min

The Impact of a 20% Project on JAMA's Impact

5min

The Trade-Off Between Screening and Diabetes Care

2min

10.

The Cost of Data Capture

6min

11.

The Role of CE Marks in AI Interventions

5min

12.

Deep Learning and Cardiovascular Risk Factors

6min

13.

How Deep Learning Can Predict Disease Pathology

4min

14.

Machine Learning and Health Care

2min

15.

AI and the Future of Medical Notes

3min

16.

The Future of AI and Medicine

2min

17.

What Computer Science Learns From Medicine

5min

18.

AI and the Healthcare System

1min

19.

The Importance of Explainability in Early Career Clinicians

2min

20.

The Advantages of AI in Troubleshooting and Understanding Side Effects

4min

21.

The Most Controversial Opinion in Medical AI

6min

Dr. Lily Peng has driven major medical AI efforts along the long and arduous path from ideation to deployment. From publishing a landmark study in 2016 presenting an AI model to detect diabetic retinopathy in retinal fundus photographs to evaluating deep learning systems in India and Thailand, she has a unique and wide-ranging perspective on both model development and real-world validation. She continues to lead medical AI efforts as a physician-scientist and the Director of Product Management at Verily.

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