The Impact of AI-Powered Clinical Decision Support Systems on Clinical Decision-Making and Treatment Quality

METHODS RECOMMENDATIONS1. To identify and categorize the AI technologies utilized in CDSS and explore the effects of AIpowered CDSS on clinical decision-making processes, diagnostic accuracy, and treatment quality.2. To highlight the challenges and barriers faced in the implementation of AI-powered CDSS, and facilitate a comprehensive understanding of the implications of AI integration in clinical practice for healthcare professionals, policymakers, and researchers.3. To provide recommendations for future research directions focused on the long-term impacts and practical applications of AI-powered CDSS in healthcare settings.