Medical artificial intelligence: driven by the fusion of knowledge⁃guided and data⁃mining methodologies

Abstract

Medical artificial intelligence (AI) applies AI technology to the medical field to meet clinical needs, combines with the experience of doctors, and relies on the computing, analysis and decision⁃making ability of AI to provide accurate intelligent assistance for clinical diagnosis and treatment. At present, medical AI is based on knowledge guided and data driven approaches, but each has its own advantages and disadvantages. Combining knowledge⁃guided AI with data⁃driven AI and utilizing their respective advantages is expected to break through the application bottle neck of medical AI and promote the development and innovation of medical AI. This paper summarizes the application of medical AI driven by knowledge guidance and data mining and looks forward to the future development direction, in order to promote the innovation and application of AI technology in the medical field.

doi：10.3969/j.issn.1672⁃6731.2023.01.001