医学影像与人工智能

董孟杰; 黄钢; 董孟杰; 黄钢

doi:10.3760/cma.j.issn.1673-4114.2020.01.002

[1]

金征宇. 前景与挑战: 当医学影像遇见人工智能[J]. 协和医学杂志, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001
Jin ZY. Prospetcs and Challenges: when Medical Imaging Meets Artificial Intelligence[J]. Med J Peking Union Med College HospMed J Peking Union Med College Hosp, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001

[2]

Saratchandran V. 6 Ways Artificial Intelligence Is Driving Decision Making[EB/OL]. (2017-07-20) [2020-01-05]. https://www.fingent.com/blog/6-ways-artificial-intelligence-is-driving-decision-making.

[3]

Shan HM, Padole A, Homayounieh F, et al. Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction[J]. Nat Mach IntellNat Mach Intell, 2019, 1: 269-276. doi: 10.1038/s42256-019-0057-9

[4]

Fan AP, Benner T, Bolar DS, et al. Phase-based regional oxygen metabolism (PROM) using MRI[J]. Magn Reson MedMagn Reson Med, 2012, 67(3): 669-678. doi: 10.1002/mrm.23050

[5]

中华人民共和国国务院. 新一代人工智能发展规划[EB/OL]. (2017-07-20) [2020-01-05]. http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm.

The State Council of the PRC. Development planning for a new generation of artificial intelligence[EB/OL]. (2017-07-20) [2020-01-05]. http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm.

[6]

中国医学影像AI产学研用创新联盟(CAIERA). 中国医学影像AI白皮书[EB/OL]. (2019-03-28)[2020-01-05]. https://max.book118.com/html/2019/0404/8131077056002015.shtm.

Chinese Innovative Alliance of Industry Education. Chinese Medical Imaging AI Industry-University-Research Innovation Alliance. White paper on Chinese medical imaging artificial intelligence[EB/OL]. (2019-03-28)[2020-01-05]. https://max.book118.com/html/2019/0404/8131077056002015.shtm.

[7]

中华医学会核医学分会分子影像人工智能工作委员会. 分子影像人工智能专家共识(2019版)[J]. 中华核医学与分子影像杂志, 2019, 39(12): 748-751. doi: 10.3760/cma.j.issn.2095-2848.2019.12.009
Artificial Intelligence working Committee of Chinese Society of Nuclear Medicine. 2019 expert consensus for molecular imaging artificial intelligence[J]. Chin J Nucl Med Mol ImagingChin J Nucl Med Mol Imaging, 2019, 39(12): 748-751. doi: 10.3760/cma.j.issn.2095-2848.2019.12.009

[1]	金征宇. 前景与挑战: 当医学影像遇见人工智能[J]. 协和医学杂志协和医学杂志, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001 Jin ZY. Prospetcs and Challenges: when Medical Imaging Meets Artificial Intelligence[J]. Med J Peking Union Med College HospMed J Peking Union Med College Hosp, 2018, 9(1): 2-4. doi: 10.3969/j.issn.1674-9081.2018.01.001
[2]	Saratchandran V. 6 Ways Artificial Intelligence Is Driving Decision Making[EB/OL]. (2017-07-20) [2020-01-05]. https://www.fingent.com/blog/6-ways-artificial-intelligence-is-driving-decision-making.
[3]	Shan HM, Padole A, Homayounieh F, et al. Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction[J]. Nat Mach IntellNat Mach Intell, 2019, 1: 269-276. doi: 10.1038/s42256-019-0057-9
[4]	Fan AP, Benner T, Bolar DS, et al. Phase-based regional oxygen metabolism (PROM) using MRI[J]. Magn Reson MedMagn Reson Med, 2012, 67(3): 669-678. doi: 10.1002/mrm.23050
[5]	中华人民共和国国务院. 新一代人工智能发展规划[EB/OL]. (2017-07-20) [2020-01-05]. http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm. The State Council of the PRC. Development planning for a new generation of artificial intelligence[EB/OL]. (2017-07-20) [2020-01-05]. http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm.
[6]	中国医学影像AI产学研用创新联盟(CAIERA). 中国医学影像AI白皮书[EB/OL]. (2019-03-28)[2020-01-05]. https://max.book118.com/html/2019/0404/8131077056002015.shtm. Chinese Innovative Alliance of Industry Education. Chinese Medical Imaging AI Industry-University-Research Innovation Alliance. White paper on Chinese medical imaging artificial intelligence[EB/OL]. (2019-03-28)[2020-01-05]. https://max.book118.com/html/2019/0404/8131077056002015.shtm.
[7]	中华医学会核医学分会分子影像人工智能工作委员会. 分子影像人工智能专家共识(2019版)[J]. 中华核医学与分子影像杂志中华核医学与分子影像杂志, 2019, 39(12): 748-751. doi: 10.3760/cma.j.issn.2095-2848.2019.12.009 Artificial Intelligence working Committee of Chinese Society of Nuclear Medicine. 2019 expert consensus for molecular imaging artificial intelligence[J]. Chin J Nucl Med Mol ImagingChin J Nucl Med Mol Imaging, 2019, 39(12): 748-751. doi: 10.3760/cma.j.issn.2095-2848.2019.12.009