SMART DIAGNOSTICS: AI AT THE HEART OF MODERN MEDICINE

Abstract: Artificial Intelligence (AI) is transforming the healthcare industry by enabling faster, more accurate, and highly efficient diagnostic processes. Technologies powered by machine learning, deep learning, and natural language processing are reshaping how diseases are detected, monitored, and treated. This paper explores how AI is integrated into healthcare diagnostics by comparing traditional methods with AI-based approaches. It also highlights the role of AI in medical education and IT-enabled healthcare systems, while addressing challenges such as data privacy, ethical concerns, and implementation barriers. The study includes data collection and analysis to evaluate how AI improves diagnostic accuracy and reduces human error. Findings show that AI-driven systems significantly enhance healthcare delivery by making it more reliable, accessible, and cost-effective. However, issues like technological dependency and limited infrastructure in developing countries still exist. The study concludes that AI should support healthcare professionals rather than replace them.