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Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation
20 June 2025
Hao Guan
D. Bates
Li Zhou
OOD
Re-assign community
ArXiv (abs)
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Papers citing
"Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation"
2 / 2 papers shown
ReclAIm: A multi-agent framework for degradation-aware performance tuning of medical imaging AI
Eleftherios Tzanis
Michail E. Klontzas
VLM
82
0
0
19 Oct 2025
Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning
Yunghwei Lai
Kaiming Liu
Ziyue Wang
Weizhi Ma
Yang Liu
LM&MA
147
0
0
05 Oct 2025
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