Emma is a final-year medical student at the University of Cambridge and also pursuing her Ph.D. in Machine Learning. With her knowledge of clinical decision-making, she is working on research projects that leverage machine-learning techniques to improve clinical workflow. She will be taking her role as an academic doctor post her graduation.

Time stamps of the conversation
00:00:00 Introduction
00:02:08 From clinical science to learning AI
00:13:15 Learning the basics of Artificial Intelligence
00:20:12 Promise of AI in medicine
00:30:13 Do we really need interpretable AI models for clinical decision-making?
00:38:47 Using AI for more clinically-useful problems
00:50:55 Facilitating interdisciplinary efforts
00:54:06 Predicting length of stay in ICUs using convolutional neural networks
01:03:04 AI for improving clinical workflows and biomarker discovery
01:07:55 Clustering disease trajectories in mechanically ventilated patients using machine learning
01:16:37 ChatGPT for medical research or clinical decision making
01:25:21 Quality over quantity of AI works published nowadays
01:31:07 Advice to researchers

Emma's Homepage: https://emmarocheteau.com/
LinkedIn: https://www.linkedin.com/in/emma-rocheteau-125384132/

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About the Host:
Jay is a Ph.D. student at Arizona State University.
Linkedin: https://www.linkedin.com/in/shahjay22/
Twitter: https://twitter.com/jaygshah22
Homepage: https://www.public.asu.edu/~jgshah1/ for any queries.

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Checkout these Podcasts on YouTube: https://www.youtube.com/c/JayShahml
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