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From Days to Minutes: An Autonomous AI Agent Achieves Reliable Clinical Triage in Remote Patient Monitoring

Seunghwan Kim, Tiffany H. Kung, Heena Verma, Dilan Edirisinghe, Kaveh Sedehi, Johanna Alvarez · Mar 10, 2026

Citations: 0

Match reason: Keyword overlap 3/3 across title and protocol fields.

Score: 78% High protocol signal Freshness: Cold Status: Ready
Expert Verification Automatic Metrics Long Horizon Medicine
  • Results: Against a human majority-vote standard (N=467), the agent achieved 95.8% emergency sensitivity and 88.5% sensitivity for all actionable alerts (85.7% specificity).
  • In LOO analysis, the agent outperformed every clinician in emergency sensitivity (97.5% vs.
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HLE-Verified: A Systematic Verification and Structured Revision of Humanity's Last Exam

Weiqi Zhai, Zhihai Wang, Jinghang Wang, Boyu Yang, Xiaogang Li, Xander Xu · Feb 15, 2026

Citations: 0

Match reason: Keyword overlap 3/3 across title and protocol fields.

Score: 78% High protocol signal Freshness: Cold Status: Ready
Expert VerificationCritique Edit Automatic Metrics Law
  • Humanity's Last Exam (HLE) has become a widely used benchmark for evaluating frontier large language models on challenging, multi-domain questions.
  • However, community-led analyses have raised concerns that HLE contains a non-trivial number of noisy items, which can bias evaluation results and distort cross-model comparisons.
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