RETHINKING HEALING: HOW ARTIFICIAL INTELLIGENCE IS REWRITING THE RULES OF MODERN HEALTHCARE

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare by providing advanced tools for disease detection, diagnosis, treatment planning, and health system management. This article presents a comprehensive overview of AI applications in healthcare, structured like a scientific review. We summarize how machine learning (ML) and deep learning algorithms can analyze vast and complex medical datasets – including electronic health records (EHRs), medical images, and genomic data – to improve diagnostic accuracy, accelerate drug discovery, personalize treatment strategies, and streamline administrative workflows. Key examples from recent studies are discussed: AI systems have achieved early disease detection with higher sensitivity than human clinicians, identified new drug candidates in a fraction of the usual development time, and improved clinical decision-making with personalized predictions of treatment outcomes. The potential benefits of AI in healthcare are immense, ranging from reducing diagnostic errors and speeding up image interpretation to optimizing therapy selection and increasing operational efficiency. However, successful integration of AI into clinical practice requires careful consideration of data quality, algorithm transparency, and ethical issues such as patient privacy and algorithmic bias. This review underscores that with multidisciplinary collaboration and robust oversight, AI can be a transformative catalyst for precision medicine and improved healthcare delivery.