The Impact of Artificial Intelligence on Modern Medicine: Advancements, Applications, and Future Prospects

Abstract

Artificial intelligence (AI) is rapidly transforming healthcare, offering promising solutions to reduce costs and improve patient out­comes. This paper explores the diverse applications of AI in medicine, from diagnosis to drug discovery and clinical decision sup­port. AI has demonstrated comparable accuracy to medical specialists in identifying conditions such as skin cancer and diabetic retinopathy. In clinical settings, AI-powered tools are assisting with tasks like note-taking and electronic health record management, potentially alleviating physician burnout. In drug discovery and development, AI accelerates the process through virtual screening, toxicity prediction, and lead optimization. AI also enhances clinical trial execution by streamlining patient recruitment, data capture, and adherence monitoring. For diseases like diabetes, AI-driven technologies are revolutionizing patient care through continuous glucose monitoring and automated insulin delivery systems. Furthermore, AI-based clinical decision support tools are aiding in complex diagnoses such as sepsis and optimizing treatment selection. While AI shows immense potential to transform healthcare delivery, challenges related to data privacy, model interpretability, and regulatory oversight must be addressed. As AI continues to evolve, its integration into medical practice promises to enhance efficiency, accuracy, and ultimately, patient care.