Knowledge AI: New Medical AI Solution for Medical image Diagnosis
This paper addresses the problem of improving the effectiveness of medical AI for medical image diagnosis, which is an incremental step for medical professionals.
The paper proposes a 'knowledge AI' method, combining perceptual AI with clinical knowledge, to improve medical image diagnosis. This approach aims to leverage geometric information mining from medical images to represent clinical experience and evaluate image quality.
The implementation of medical AI has always been a problem. The effect of traditional perceptual AI algorithm in medical image processing needs to be improved. Here we propose a method of knowledge AI, which is a combination of perceptual AI and clinical knowledge and experience. Based on this method, the geometric information mining of medical images can represent the experience and information and evaluate the quality of medical images.