Poster · Atlanta

χ-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

Name: χ-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
Start: 2026-12-11T10:00:00-05:00
End: 2026-12-11T13:00:00-05:00
Location: Hall C1, Georgia World Congress Center

When: Fri 11 Dec 2026, 10:00–13:00 EST
Where: Hall C1, Georgia World Congress Center
Session: Atlanta Poster Session 5
Authors: Haolin Chen, Deon Metelski, Leon Qi, Tao Xia, Joonyul Lee, Steve Brown, Kevin Riley, Frank Wang, T. Y Liu, Hank Capps, Zeyu Tang, Xiangchen Song and 21 more
Organisations: Actava Ai, actAVA, Actava LLC, actAVA.ai Inc, Johns Hopkins University, Seny Advisory, Stanford University, Carnegie Mellon University
QRS classification: Agentic AI, Health and medicine

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