Abstract
The AI-CDSS is a powerful tool designed to assist healthcare professionals in making informed and evidence-based decisions in patient care. It leverages artificial intelligence algorithms and data analysis techniques to provide personalized recommendations and insights. This system explores the features and benefits of the AI-CDSS, including patient data analysis, diagnostics and treatment recommendations, drug interaction and adverse event detection, predictive analytics, real-time monitoring and alerts, and continuous learning and improvement. The model also discusses the applications of AI-driven decision-making systems in healthcare, focusing on areas such as cancer diagnosis and treatment, chronic disease management, medication optimization, surgical decision support, infectious disease outbreak management, radiology and medical imaging analysis, mental health support, and clinical trials and research. Additionally, the chapter highlights existing methodologies, such as deep learning models like CNNs and RNNs, that have shown potential in cardiovascular disease prediction.