Zheng-yu JIN. Prospects and Challenges:when Medical Imaging Meets Artificial Intelligence[J]. Medical Journal of Peking Union Medical College Hospital, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001
Citation:
Zheng-yu JIN. Prospects and Challenges:when Medical Imaging Meets Artificial Intelligence[J]. Medical Journal of Peking Union Medical College Hospital, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001
Zheng-yu JIN. Prospects and Challenges:when Medical Imaging Meets Artificial Intelligence[J]. Medical Journal of Peking Union Medical College Hospital, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001
Citation:
Zheng-yu JIN. Prospects and Challenges:when Medical Imaging Meets Artificial Intelligence[J]. Medical Journal of Peking Union Medical College Hospital, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001
Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
With the rapid development of artificial intelligence, there is a general consensus of opinion that radiologists' workload can be dramatically reduced with the aid of intelligent image recognition. On the issues of comprehensive diagnosis and treatment, however, there is no certain answer whether or not artificial intelligence can provide better suggestions and comments. Currently, in China, the artificially intelligent imaging technique is mainly focused on simple image recognition, but there is a lack of experience in the accumulation of medical data and the analysis of radiological reports. The mode of integrating artificial intelligence with medical imaging science has just begun. We believe that the progress of science and technology will continue to be the engine of human civilization.
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