Application of Artificial Intelligence in Medicine

Abstract

In recent years, generative artificial intelligence has made significant breakthroughs in the medical field. The rapid development of deep learning technology has brought new opportunities to many application fields such as medical image analysis, disease prediction, clinical decision support systems, and surgical robots. This article reviews the current status of artificial intelligence applications in medicine, explores the accurate recognition capabilities of technologies such as convolutional neural networks in medical image analysis, and the potential of machine learning in disease risk assessment and personalized health management. At the same time, it analyzes the ability of artificial intelligence to generate optimization solutions in clinical decision support systems and the advantages of surgical robots in complex operations. Although artificial intelligence has broad application prospects, it still faces challenges such as lack of explainability, data privacy, and security. Future development requires strengthening the improvement of relevant laws and regulations to protect the rights and interests of patients and promote the healthy progress of artificial intelligence.

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