Abstract: Artificial intelligence (AI) has emerged as a game changer in modern healthcare, providing novel answers to long-standing issues in medical diagnosis, treatment, and patient care. AI systems can analyze massive volumes of clinical data, detect complicated patterns, and aid in evidence-based decision-making by employing advanced machine learning algorithms, natural language processing, and computer vision. AI applications include early disease detection, medical imaging analysis, customized medicine, drug development, hospital workflow optimization, and virtual health assistants. These developments not only increase the precision and efficiency of healthcare delivery, but they also lower costs and improve patient outcomes.

Despite its enormous promise, the use of AI in healthcare raises concerns about data privacy, ethical considerations, algorithmic bias, and the need for regulatory frameworks. This article discusses the role of AI in healthcare, including its primary applications, benefits, limitations, and future potential for developing intelligent, patient-centric health systems.

Artificial intelligence (AI) has emerged as one of the most significant technical developments affecting the healthcare industry, transforming how medical services are supplied and administered. Unlike traditional systems, which rely primarily on manual interpretation of clinical data, AI provides healthcare practitioners with sophisticated capabilities for processing large-scale information in real time, uncovering hidden relationships and generating actionable insights. AI systems can detect subtle anomalies in medical images, predict disease risks based on genetic and lifestyle factors, and assist in complex diagnostic decisions that were previously limited to specialized expertise.

Downloads: | DOI: 10.17148/IARJSET.2025.12926