Next-Generation Healthcare: Artificial Intelligence Applications in Disease Management.

This document discusses the application of artificial intelligence (AI) in healthcare, specifically in disease management. The use of AI in healthcare is transforming traditional systems, leading to improved operational efficiency and more accurate diagnoses. The document highlights various AI applications in disease management, including the diagnosis of blood cancers, infectious disorders, diabetic macular edema, oral squamous cell carcinoma, drug-induced hepatotoxicity, mandibular length prediction, appendicitis diagnosis, diabetes detection, brain tumor detection, and inflammatory bowel disease. Additionally, AI is being explored in other areas of medicine, such as drug discovery, robotic surgery, personalized medicine, medical imaging analysis, and epidemic prediction and prevention. However, there are challenges and ethical considerations to address, including data privacy and security, algorithmic bias, transparency and explainability, and regulatory frameworks. Despite these challenges, the potential of AI to revolutionize healthcare is significant, leading to improved patient outcomes and personalized medicine. [Extracted from the article]