The Integration of AI-Driven Decision Support Systems in Healthcare: Enhancements, Challenges, and Future Directions

Artificial Intelligence (AI) is transforming the healthcare landscape by enhancing diagnostic accuracy, operational efficiency, and patient management through AI-driven Decision Support Systems (AI-DSS). These systems leverage vast datasets, including electronic health records and various biomolecular markers, to provide evidence-based recommendations for clinical practice. Despite their potential, challenges such as data quality, algorithmic bias, and ethical concerns persist. This paper explores the capabilities of AI-DSS in healthcare, the methodologies underpinning their operation, and the ethical considerations that accompany their implementation. Additionally, the paper discusses future trends in AI integration within healthcare, emphasizing the importance of ongoing collaboration between healthcare professionals and AI researchers to address existing limitations and opti-mize patient outcomes. Keywords: Artificial Intelligence, Decision Support Systems, Healthcare, Diagnostic Accuracy, Predictive Analytics, Ethical Considerations, Data Privacy, Machine Learning, Personalized Medicine