Author(s)

Bohan Qiu

Corresponding Author

Bohan Qiu

Abstract

With the rapid development of artificial intelligence technology, large language models, such as ChatGPT, are demonstrating their potential in the medical and health field, offering unique value in assisting medical diagnosis and emerging as a frontier hotspot in smart medical research. This research aims to systematically explore ChatGPT's optimization strategies for medical diagnosis assistance and to comprehensively evaluate its clinical application outcomes. Firstly, this paper analyzes the technical principles of ChatGPT and its current application status, and examines its limitations in practice. To meet these challenges, it proposes optimization strategies, including improving technical standards, upgrading medical professional standards, and strengthening ethical and legal safeguards. Finally, by constructing an evaluation system, an empirical analysis of ChatGPT's clinical effects was conducted from the perspectives of diagnostic accuracy and efficiency. The results show that ChatGPT can significantly improve the diagnostic efficiency and resource utilization under the condition of effective optimization and standardized use. However, its diagnostic accuracy will change with the type of disease, and it needs the supervision of doctors when using it. This study provides theoretical reference and practical guidance for the safe and effective use of ChatGPT in clinical environment.

Keywords

ChatGPT; Medical diagnosis assistance; Clinical application effect