Abstract
Artificial Intelligence (AI) has been playing an important role in medical image recognition, especially in precision medicine and health management, where AI can improve the accuracy and efficiency of diagnosis by utilizing advanced technologies such as deep learning. This paper explores in detail the application of AI techniques in the early diagnosis of cancer, image analysis of cardiovascular diseases, and assessment of neuropsychiatric disorders. We also identify challenges in technical standards, data security and privacy protection, and interdisciplinary collaboration, and emphasize the importance of establishing effective technical standards and evaluation systems, as well as fostering collaboration among experts in various fields.
Cite
CITATION STYLE
Lee, Y. (2024). Application of AI-Driven Medical Image Recognition in Precision Medicine and Healthcare. Applied and Computational Engineering, 102(1), 169–174. https://doi.org/10.54254/2755-2721/102/20241267
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