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Computational pathology and the future of AI cancer detection - Dr Thomas Fuchs - EP044
Dr. Thomas J. Fuchs is the Founder and Chief Scientist at Paige. He is a pioneer in the groundbreaking field of computational pathology, using artificial intelligence to analyze images of tissue samples to identify disease, recommend treatment and predict outcome and was named one of the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare in 2019. He is also the Dean of Artificial Intelligence and Human Health and Co-Director of the Hasso Plattner Institute for Digital Health at the Icahn School of Medicine at Mount Sinai.
Show Notes
- https://paige.ai/
- https://www.linkedin.com/in/fuchsthom...
- https://www.accessdata.fda.gov/cdrh_d...
- https://pathsocjournals.onlinelibrary...
Runsheet
00:00 Intro to our wonderful guest
01:18 What did rockets and the Mars rover teach Thomas about machine learning?
05:20 Where did the spark for Paige come from? Where is Paige today?
08:00 The AI that makes Paige what it is today?
12:48 Are pre-trained transformers effective in the application of AI in the medical sphere?
15:30 How do deal with data quality and bottlenecks in Paige?
19:00 How does Paige prioritise what AI models to build and what questions to ask?
21:45 What are some of the biggest accelerants for Paige and AI at the moment?
26:30 Where are areas being overlooked in the medical AI field?
31:15 How should a an engineer balance their clinical and technical skill development?
34:00 What are some of the biggest challenges that Paige faces?
38:15 What opportunities do you see to work directly with the patient through Paige?
41:30 What does the next 10 years look like for Paige?
44:30 How do you consider distributing Paige to parts of the world that need it but don’t have the infrastructure?
49:00 How do you keep on top of all the information in your fields?
53:25 Wrapping it up
View all episodes
By High Output AIDr. Thomas J. Fuchs is the Founder and Chief Scientist at Paige. He is a pioneer in the groundbreaking field of computational pathology, using artificial intelligence to analyze images of tissue samples to identify disease, recommend treatment and predict outcome and was named one of the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare in 2019. He is also the Dean of Artificial Intelligence and Human Health and Co-Director of the Hasso Plattner Institute for Digital Health at the Icahn School of Medicine at Mount Sinai.
Show Notes
- https://paige.ai/
- https://www.linkedin.com/in/fuchsthom...
- https://www.accessdata.fda.gov/cdrh_d...
- https://pathsocjournals.onlinelibrary...
Runsheet
00:00 Intro to our wonderful guest
01:18 What did rockets and the Mars rover teach Thomas about machine learning?
05:20 Where did the spark for Paige come from? Where is Paige today?
08:00 The AI that makes Paige what it is today?
12:48 Are pre-trained transformers effective in the application of AI in the medical sphere?
15:30 How do deal with data quality and bottlenecks in Paige?
19:00 How does Paige prioritise what AI models to build and what questions to ask?
21:45 What are some of the biggest accelerants for Paige and AI at the moment?
26:30 Where are areas being overlooked in the medical AI field?
31:15 How should a an engineer balance their clinical and technical skill development?
34:00 What are some of the biggest challenges that Paige faces?
38:15 What opportunities do you see to work directly with the patient through Paige?
41:30 What does the next 10 years look like for Paige?
44:30 How do you consider distributing Paige to parts of the world that need it but don’t have the infrastructure?
49:00 How do you keep on top of all the information in your fields?
53:25 Wrapping it up