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 conversation00:00:00 Introduction00:02:08 From clinical science to learning AI00:13:15 Learning the basics of Artificial Intelligence00:20:12 Promise of AI in medicine00:30:13 Do we really need interpretable AI models for clinical decision-making? 00:38:47 Using AI for more clinically-useful problems00:50:55 Facilitating interdisciplinary efforts00:54:06 Predicting length of stay in ICUs using convolutional neural networks01:03:04 AI for improving clinical workflows and biomarker discovery   01:07:55 Clustering disease trajectories in mechanically ventilated patients using machine learning01:16:37 ChatGPT for medical research or clinical decision making01:25:21 Quality over quantity of AI works published nowadays01:31:07 Advice to researchersEmma's Homepage: https://emmarocheteau.com/LinkedIn: https://www.linkedin.com/in/emma-rocheteau-125384132/Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.comAbout the Host:Jay is a Ph.D. student at Arizona State University.Linkedin: https://www.linkedin.com/in/shahjay22/Twitter: https://twitter.com/jaygshah22Homepage: https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***Checkout these Podcasts on YouTube: https://www.youtube.com/c/JayShahmlAbout the author: https://www.public.asu.edu/~jgshah1/

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