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cs.AI2026
Adversarial Evaluation of Large Language Models for Patient-Friendly Radiology Report Summarization
Magdalini Paschali, Asad Aali, Arogya Koirala +6
Purpose: To develop and validate a scalable adversarial evaluation framework for assessing the robustness of large language models (LLMs) that generate patient-friendly summaries o…
cs.AI2025★ 1 cited
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)
Zhongnan Fang, Andrew Johnston, Lina Cheuy +10
Artificial intelligence (AI) tools for radiology are commonly unmonitored once deployed. The lack of real-time case-by-case assessments of AI prediction confidence requires users t…