Artificial Intelligence for Enhanced Medical Diagnosis: Developing Learning Models for Accurate Patient Diagnosis [Articol]

Abstract

This paper explores the integration of Artificial Intelligence (AI) in healthcare, focusing on its applications in medical imaging and diagnosis. It presents a case study evaluating generative AI tools in cardiovascular diagnostics, comparing their performance with expert analysis. The research highlights the potential of AI to augment human expertise in healthcare decision-making. Furthermore, it proposes future work on developing an AI-driven adaptive clinical decision support system based on European Guidelines. This system aims to personalize recommendations for individual practitioners while maintaining adherence to standardized best practices, potentially revolutionizing AI support in medical practice across Europe.