Faisal Mahmood

Dr. Faisal Mahmood, an Associate Professor of Pathology at Brigham and Women’s Hospital, shares his groundbreaking work in AI and pathology. He discusses how foundational models can transform digital diagnostics and reflects on the power of open-source culture for innovation. Faisal explores the development of PathChat, a generative AI co-pilot, and its FDA breakthrough designation. He also ponders the future of patient-level models and the potential of AI to revolutionize healthcare through real-time data analysis.

Faisal Mahmood, a Harvard Medical School professor and pathologist at Mass General Brigham, discusses how AI is revolutionizing pathology. He highlights the evolution of deep learning in medical diagnostics, the exciting use of foundation models like Uni and Conch, and innovations in 3D pathology that improve accuracy. Faisal also addresses the challenges of digital pathology, including resistance to change, while emphasizing accessible technologies to enhance care. His insights provide a glimpse into the future of diagnostics through AI.

Dr. Faisal Mahmood, Associate Professor of Pathology at Harvard Medical School and leader in computational pathology, discusses foundational AI models like UNI and CONCH. He covers slide- and patient-level representations, multimodal contrastive approaches, generative AI for morphology and triage, and agentic tools such as PathChat for interactive slide workflows.