Sep 2026· Theoretical and Natural Science· Vol 190, pp. 190-194· 0 citations
TL;DR
The current situation of development for AI in medical imaging is introduced and possible remedies for existing deficiencies and application scenarios of AI in diagnosis are discussed.
Abstract
Artificial intelligence (AI) is now a very promising technology for improving the efficiency of medical image analysis in CT, MRI, X-ray and other kinds of images. With the development of CNNs into Vision Transformers (ViTs) and foundation models, AI power has spread across many fields; thus, high-precision image classification and segmentation are now being carried out, and improvements in the efficiency and accuracy of medical diagnosis can be achieved. Although research on AI has achieved good results, only a small number of AI tools have been applied in hospitals to date. This paper will introduce the current situation of development for AI in medical imaging and discuss possible remedies for existing deficiencies and application scenarios of AI in diagnosis. At present, the problems that are faced by developers include the lack of sufficient amounts of annotated data, weak generalization of AI models, the issue of patients' privacy, and the problem of AI interpretability.
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