Multimodal Explainable Arti fi cial Intelligence for Prognostic Strati fi cation of Patients With Glioblastoma
B. Baheti, Sunny Rai, S. Innani et al.
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Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation
A clinically curated Pan-Asia WSI--report dataset is introduced and the REG 2025 benchmark is established as a benchmark for evaluating WSI-based structured report generation and vision-language understanding in computational pathology, providing insights for the design of clinically grounded multimodal pathology model...
Yu-Mi Lee, Harim Oh, Hyo-yun Kim et al.
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Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations
This review aims to formalize XAI methods in CompPath through the introduction of a pathology-centric vocabulary comprising seven core terms and establishment of a task-driven framework that maps five clinical questions to recommended methods, method evaluation, and deployment context.
S. Innani, Suhang You, A. Shephard et al.
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