Effect of a Localized ICU AI Teaching Agent on Rotating ICU Residents

This trial is an ongoing single-center, pragmatic, parallel-group randomized controlled superiority trial currently in participant recruiting phase, conducted within intensive care unit teaching wards at Peking Union Medical College Hospital, Beijing, China. The scheduled trial implementation period spans March 2026 to June 2026, aiming to evaluate whether an institution-specific, protocol-bound retrieval-augmented AI educational agent (named ICU-Tutor) can reduce residents' extraneous cognitive load and improve standardized ICU protocol task performance compared with free access to unrestricted commercial general-purpose large language model AI tools during early ICU clinical rotation. The trial plans to screen a total of 44 first-time ICU rotating resident candidates, with pre-defined exclusion standards to eliminate unqualified individuals; approximately 44 eligible residents will undergo 1:1 stratified randomization and be split into two research arms: 22 participants assigned to the ICU-Tutor intervention group and 22 assigned to the unrestricted general AI control group. All enrolled subjects will complete standardized 14-day follow-up assessments as pre-specified in the trial protocol. Both study cohorts receive unified 15-minute standardized training covering standardized safe AI clinical application rules prior to formal intervention initiation. ICU-Tutor is strictly built on a curated knowledge base including 247 ICU institutional protocols validated by senior att…

This description comes directly from the study's public registry record.

Yuankai Zhou，Associate Professor, Department of Critical Care Medicine, MD  ·  +86-10-69152300  ·  zhouyuankai@pumch.cn

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