[Current status, application scenarios, challenges, and recommendations for the development of medical artificial intelligence: a domestic and international perspective].

Abstract

Medical artificial intelligence (AI) is currently undergoing rapid development, with its technical framework evolving from symbolic reasoning to a new paradigm driven by deep learning and large language models. This article reviews the progression of AI technology, tracing its trajectory in the medical field under the policy support of countries such as China and the United States. It also analyzes the current development status of domestic and foreign large-scale models across three key areas: data, computing power, and algorithms. The article systematically outlines the advancements of AI in five major medical application scenarios: precision prevention and health management, precision diagnosis and treatment, precision drug development, precision infectious disease control, and precision medical education. Moreover, this article examines the critical challenges faced by current medical AI, including data quality, model interpretability and causality, hallucination control, fairness, overfitting, and safety verification, and offers strategies to address these concerns. In conclusion, this article provides a comprehensive perspective and strategic recommendations for the continued development of medical AI in our country.

Ähnliche Arbeiten