ARTIFICIAL INTELLIGENCE IN MODERN MEDICINE: ENHANCING CLINICAL ACCURACY, PERSONALIZING THERAPY, AND SHAPING ETHICAL HEALTHCARE FUTURES

Abstract

Artificial Intelligence (AI) has rapidly evolved from an experimental computational paradigm into a transformative force within modern medicine. This study explores the theoretical foundations, major clinical applications, system-level integration strategies, and ethical–legal dimensions of AI in healthcare. Rather than focusing on a single technical domain, the paper provides a structured overview of how AI contributes to improved diagnostic precision, personalized therapeutic decision-making, healthcare operations management, and the future evolution of digital medicine. Drawing on contemporary scientific literature (2020–2025), the analysis demonstrates that AI can substantially enhance patient outcomes and institutional efficiency when deployed within transparent, ethically governed, and clinically validated frameworks. The findings emphasize that technological capability alone is insufficient; sustainable integration requires regulatory oversight, bias mitigation, interpretability mechanisms, and interdisciplinary collaboration.