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cs.AI2026
From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction
Daniel Kang, Michelle Hu, Soorya Ram Shimgekar +12
Clinically relevant oncology information is distributed across heterogeneous, longitudinal documentation, creating substantial abstraction burden and requiring accurate attribution…
cs.AI2026
Trust but Verify:Evidence-Linked Multi-Agent Clinical Information Extraction in Pathology
Yufan Wang, Anit Kumar Sahu, Yan Fei Ng +8
Clinical feature extraction from pathology reports is challenging because relevant evidence may be distributed across coded and narrative fields and depend on specimen attribution,…