Abstract
At present, the application of artificial intelligence in medical image diagnosis has made remarkable progress. Through deep learning and neural network technology, artificial intelligence can help doctors quickly and accurately identify abnormalities in X-rays, MRI and CT images, improving the efficiency and accuracy of medical image diagnosis. In addition, AI can also detect potential disease patterns and risk factors through big data analysis to support personalized treatment and prevention. In the future, with the continuous optimization of artificial intelligence algorithms and the accumulation of medical image databases, the application of artificial intelligence in medical image diagnosis will be more extensive and in-depth. At the same time, AI is also expected to combine genomics and clinical data to achieve more accurate personalized medicine and provide better diagnosis and treatment options for patients. However, the application of artificial intelligence in medical imaging diagnosis also faces challenges such as data privacy, algorithm transparency and clinical validation, and needs to consider various factors such as technology, ethics and law in order to promote its sustainable development.
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How to cite this paper
Application Status and Prospect of Artificial Intelligence in Medical Image Diagnosis
How to cite this paper: Jing Wang. (2024). Application Status and Prospect of Artificial Intelligence in Medical Image Diagnosis. Medical Imaging and Radiology Journal, 1(1), 1-5.
DOI: http://dx.doi.org/10.26855/mirj.2024.12.001