The rapid advancement of Artificial Intelligence (AI) in healthcare has led to the adoption of diverse technologies aimed at improving accuracy, efficiency, and cost-effectiveness. This study applies the Evaluation Based on Distance from Average Solution (EDAS) method to evaluate and rank six prominent AI technologies in healthcare: AI-Powered Diagnosis (AID), Robotic Surgery (RS), Clinical Decision Support Systems (CDSS), Patient Monitoring Systems (PMS), AI-Based Drug Discovery (AIDD), and Chatbots for Patient Interaction (CPI). The technologies were assessed using four evaluation parametersAccuracy (%), Cost Savings (%), Time Efficiency (%), and Training (Hours)with equal weighting assigned to each criterion.The results indicate that Chatbots for Patient Interaction (CPI) rank first due to their superior performance in training efficiency and time optimization, making them ideal for rapid deployment and scalability in healthcare settings. Patient Monitoring Systems (PMS) secured second place, demonstrating a balanced performance across cost savings and operational efficiency. Clinical Decision Support Systems (CDSS) ranked third, largely benefiting from their streamlined trainin
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