Published Jul 19, 2018
Pragmatic Deep Learning for Medical Imagery with Prashant Warier - TWiML Talk #165
Prashant Warier, CEO of Qure.ai, delves into the complexities of developing AI models for medical imagery, highlighting the challenges of data variability, the role of open-source datasets, and the importance of domain-specific knowledge and transfer learning in building and deploying effective solutions in radiology.

Topics covered
Popular Clips
Episode Highlights
Related Episodes


Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275
Answers 383 questions

AI for Healthcare with Peter Lee - TWiML Talk #231
Answers 383 questions

ML Innovation in Healthcare with Suchi Saria - #501
Answers 383 questions

Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284
Answers 383 questions

Trends in Machine Learning with Anima Anandkumar - TWiML Talk #215
Answers 383 questions

Trends in Computer Vision with Siddha Ganju - TWiML Talk #218
Answers 383 questions

Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - 617
Answers 383 questions

AI Innovation for Clinical Decision Support with Joe Connor - TWiML Talk #169
Answers 383 questions

Deep Learning for Live-Cell Imaging with David Van Valen - #141
Answers 383 questions

Offensive vs Defensive Data Science with Deep Varma - #25
Answers 383 questions

Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386
Answers 383 questions

Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif - #144
Answers 383 questions

Deep Neural Nets for Visual Recognition with Matt Zeiler - #22
Answers 383 questions













