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

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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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