AI驱动的数字健康工具在临床实践中的实施：伞形综述

AI has the potential to improve clinical decision-making, efficiency, and patient outcomes, yet adoption in routine clinical practice has been slower than anticipated. While prior studies have identified factors that influence AI implementation, a comprehensive synthesis grounded in implementation science frameworks is lacking. This study aimed to qualitatively and comprehensively describe barriers and facilitators to AI implementation in clinical care settings using an implementation science determinants framework, the Consolidated Framework for Implementation Research (CFIR), and to identify