
Pixels to Protocols: Building the AI Future of Pathology with Dr. Faisal Mahmood
NEJM AI Grand Rounds
Advancements in Digital Pathology AI
This chapter explores the challenges and innovations in digitizing pathology glass slides into gigapixel images and improving weakly supervised learning methods. It introduces CLAM, a tool for tumor origin identification, emphasizing the importance of open-source access for research collaboration. Additionally, the chapter discusses the development of PathChat, a multimodal AI co-pilot for pathology, highlighting the significance of data diversity and the complexities of creating user-friendly AI models.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.