NEJM AI Grand Rounds

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

Feb 15, 2023
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1
Introduction
00:00 • 2min
2
How I Got Interested in AI
02:12 • 2min
3
How I Got Interested in Translational Research
03:45 • 2min
4
The Seminal Paper on Diabetic Retinopathy
05:39 • 4min
5
The Importance of Talking to Clinicians and Users
09:26 • 3min
6
The Importance of Annotation in Deep Learning
12:23 • 2min
7
How Google Supported a Project With High Impact
14:03 • 2min
8
The Impact of a 20% Project on JAMA's Impact
15:39 • 5min
9
The Trade-Off Between Screening and Diabetes Care
20:44 • 2min
10
The Cost of Data Capture
22:20 • 6min
11
The Role of CE Marks in AI Interventions
27:59 • 5min
12
Deep Learning and Cardiovascular Risk Factors
32:59 • 6min
13
How Deep Learning Can Predict Disease Pathology
38:45 • 4min
14
Machine Learning and Health Care
42:31 • 2min
15
AI and the Future of Medical Notes
44:20 • 3min
16
The Future of AI and Medicine
46:50 • 2min
17
What Computer Science Learns From Medicine
48:39 • 5min
18
AI and the Healthcare System
53:45 • 1min
19
The Importance of Explainability in Early Career Clinicians
54:58 • 2min
20
The Advantages of AI in Troubleshooting and Understanding Side Effects
56:54 • 4min
21
The Most Controversial Opinion in Medical AI
01:01:01 • 6min