3.參考文獻：Chockley, K., Emanuel, E. The End of Radiology?Three Threats to the Future Practice of Radiology.Journal of the American College of Radiology. 2016; 13(12): 1415-1420.
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5.參考文獻：Yu, K.H., Zhang, C., Berry G.J., et al. Predicting Non-Small Cell Lung Cancer Prognosis by Fully Automated Microscopic Pathology Image Features. Nature Communications 7 (2016).
6.參考文獻：Levenson, RM, Krupinski EA, Navarro VM , et al. Pigeons (Columba livia) as Trainable Observers of Pathology and Radiology Breast Cancer Images. PloS one. 2015; 10(11): e0141357.
7.資料出處：科技部補助｢新媒體科普傳播實作計畫｣執行團隊、科技大觀園
8.《新媒體科普傳播實作計畫》（計畫編號MOST105-2515-S-006-008）補助產出
文／郭庚儒
本圖／文經授權轉載自健康醫療網（原標題：人工智慧善於解讀影像 資訊科醫師將誕生）
責任編輯／蔡昀暻
