Application and Prospects of Intelligent Technologies in Internal Medicine
WuBuLi ALiMuJiang, Yan Lou
ABSTRACT
This paper explores the profound impact and far-reaching prospects of intelligent technologies in the field of internal medicine. In the era of rapid technological advancement, intelligent technologies, with artificial intelligence, machine learning, and big data analytics at their core, are revolutionizing traditional diagnostic and treatment paradigms in internal medicine. By analyzing their applications in disease diagnosis, treatment decision- making, patient monitoring, and drug therapy, we can comprehensively understand how these technologies enhance medical efficiency, improve diagnostic accuracy, and optimize patient outcomes. Additionally, the paper delves into the challenges and future directions of intelligent technology implementation in internal medicine, providing valuable insights for medical professionals and researchers.