The Impact of Artificial Intelligence on Healthcare: A Revolution in Progress

Abstract

 The present review article explores the transformative influence of Artificial Intelligence (AI) in reshaping the healthcare landscape. As AI technologies continue to advance, their integration into healthcare systems is heralding a paradigm shift with profound implications for diagnosis, treatment, patient care, and overall healthcare outcomes. The review delves into the various applications of AI in healthcare, with a particular focus on its impact on diagnostic accuracy. AI-driven diagnostic tools, fueled by machine learning algorithms, exhibit remarkable capabilities in interpreting medical imaging, such as X-rays, CT scans, and MRIs, enhancing precision and efficiency while minimizing the risk of human error. Additionally, the article examines the role of AI in pathology, where it facilitates rapid and accurate analysis of histological data, enabling early disease detection and personalized treatment strategies. The integration of AI in clinical decision support systems within Electronic Health Records (EHRs) is explored as a means of providing healthcare professionals with real-time guidance based on the latest medical evidence and patient data. The review emphasizes the potential for AI to streamline clinical trials, identify patient populations, and optimize trial designs, ultimately accelerating the development of new treatments.