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TIA Centre Seminar Series - Shubham Innani, Indiana University School of Medicine, USA

Explainable Artificial Intelligence (XAI) in Computational Pathology.

Computational pathology models are increasingly used for diagnosis, prognosis, and treatment prediction, yet many remain difficult to interpret. Drawing on a recent MICCAI SIG-CompPath review, this talk presents a pathology-focused framework for explainable AI, including a structured taxonomy of XAI methods and practical guidance for linking clinical questions to appropriate interpretability approaches.

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