转化式学习
计算机科学
知识管理
人工智能应用
工程伦理学
工程管理
管理科学
人工智能
过程管理
工程类
风险分析(工程)
数据科学
梅德林
作者
David B. Olawade,Sandra Chinaza Fidelis,Sheila Marinze,Eghosasere Egbon,Ayodele Osunmakinde,Allan G. Osborne
标识
DOI:10.1016/j.ijmedinf.2025.106141
摘要
AI represents a transformative force in clinical research with proven capabilities to enhance efficiency, reduce costs, and improve patient outcomes. Realizing this potential requires addressing technical infrastructure limitations, developing explainable AI systems, establishing comprehensive regulatory frameworks, and fostering collaborative efforts between technology developers, clinical researchers, and regulatory agencies to ensure responsible implementation.
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