Скачать или смотреть Different flavours of AI transparency for personalised healthcare

Join Chris and Rohan from the Turing Roche partnership at the Alan Turing Institute as they delve into the vast potential of clinical AI, its current barriers, and how to overcome them. Learn about the importance of transparency and personalized uncertainty quantification in AI models, and explore examples like hybrid deep learning and graphical neural networks. Discover how interdisciplinary collaboration can help translate AI advancements into effective clinical practices.

Speakers:
Rohan Chakraborty
Chris Banerji

00:00 Introduction to the Turing Roche Partnership
00:43 The Potential and Challenges of Clinical AI
02:07 Transparency in AI for Healthcare
05:48 Personalized Uncertainty Quantification
07:31 Overcoming Barriers in Clinical AI Translation

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