Artificial intelligence in medicine: Current status, challenges, and future prospects

Artificial intelligence (AI) is profoundly transforming various aspects of the medical field, from disease diagnosis and drug development to personalized treatment and health management. Currently, the research and applications of AI in the medical field mainly focus on medical image analysis, disease diagnosis, drug discovery, genomics, and personalized treatment. This paper reviews the main applications of AI in the medical field, including medical image analysis, genomics, drug discovery, clinical decision support, and patient monitoring. It also discusses the challenges faced by AI in medical applications, such as data privacy, algorithm bias, ethical issues, and regulatory difficulties. Finally, it looks forward to the future development trends of AI in the medical field, including the integration of AI with biotechnology, the rise of explainable AI (XAI), and AI-driven precision medicine. Research shows that AI has been widely applied in the medical field with significant value and broad prospects, but ethical and data privacy issues need to be addressed.