Literature Review of AI in Healthcare

Abstract

Artificial intelligence has become an important force driving changes in the medical field, from disease diagnosis to drug development, from personalized treatment to medical resource management. Artificial intelligence is gradually penetrating into every aspect of healthcare, bringing unprecedented opportunities for the development of the medical industry. Artificial intelligence, with its powerful data analysis capabilities and deep learning algorithms, can quickly and accurately analyze various medical imaging and medical record data such as X-rays and CT scans. In surgical treatment, artificial intelligence driven surgical robots have also emerged. Da Vinci surgical robots can achieve more precise and stable operations through robotic arms, reduce surgical risks, and improve surgical success rates. Through technologies such as big data analysis and machine learning, artificial intelligence can quickly screen potential drug targets, design more effective drug molecules, and accelerate the process of drug development. Establish strict data protection mechanisms for a large amount of sensitive information of patients. The development prospects of artificial intelligence in the medical field are broad, which will bring more efficient, accurate, and personalized medical services to the medical industry, improve patients' medical experience, and enhance human health.

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