拥抱互联网医疗和人工智能融合的高光时刻_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

 张群华

复旦大学附属华山医院（上海 200031）;

Corresponding author：

张群华, Email: 1145110720@qq.com

Keywords：

DOI：

10.7507/1007-9424.202008013

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Citation： 张群华. 拥抱互联网医疗和人工智能融合的高光时刻. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2020, 27(9): 1049-1051. doi: 10.7507/1007-9424.202008013 Copy

1.	陈新华, 蒋建文, 周华, 等. COVID-19 疫情背景下的医院人工智能快速布局和发展战略探讨. 中国工程科学, 2020, 22(2): 130-137.
2.	Lee SI, Celik S, Logsdon BA, et al. A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Nat Commun, 2018, 9(1): 42.
3.	Coudray N, Ocampo PS, Sakellaropoulos T, et al. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nat Med, 2018, 24(10): 1559-1567.
4.	Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature, 2017, 542(7639): 115-118.
5.	Yamada M, Saito Y, Imaoka H, et al. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy. Sci Rep, 2019, 9(1): 14465.
6.	Ardila D, Kiraly AP, Bharadwaj S, et al. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nat Med, 2019, 25(6): 954-961.
7.	严律南. 人工智能在医学领域应用的现状与展望. 中国普外基础与临床杂志, 2018, 25(5): 513-514.

1. 陈新华, 蒋建文, 周华, 等. COVID-19 疫情背景下的医院人工智能快速布局和发展战略探讨. 中国工程科学, 2020, 22(2): 130-137.
2. Lee SI, Celik S, Logsdon BA, et al. A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Nat Commun, 2018, 9(1): 42.
3. Coudray N, Ocampo PS, Sakellaropoulos T, et al. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nat Med, 2018, 24(10): 1559-1567.
4. Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature, 2017, 542(7639): 115-118.
5. Yamada M, Saito Y, Imaoka H, et al. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy. Sci Rep, 2019, 9(1): 14465.
6. Ardila D, Kiraly AP, Bharadwaj S, et al. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nat Med, 2019, 25(6): 954-961.
7. 严律南. 人工智能在医学领域应用的现状与展望. 中国普外基础与临床杂志, 2018, 25(5): 513-514.

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CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

拥抱互联网医疗和人工智能融合的高光时刻

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