
Pixels to Protocols: Building the AI Future of Pathology with Dr. Faisal Mahmood
NEJM AI Grand Rounds
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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.
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