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Artificial intelligence in medical education: Are we ready for it?

作者信息

Imran Nazish, Jawaid Masood

机构信息

Dr. Nazish Imran, MBBS, FRCPsych, MRCPsych (London), MHPE, Associate Professor, Department of Child & Family Psychiatry, King Edward Medical University/Mayo Hospital, Lahore, Pakistan.

Dr. Masood Jawaid, MBBS, MCPS, MRCS (Glags), FCPS (Surg), MHPE, Director Medical Affairs and Pharmacy Services, PharmEvo, Associate Editor, Pakistan Journal of Medical Sciences, Consultant Surgeon, Darul Sehat Hospital, Karachi, Pakistan.

出版信息

Pak J Med Sci. 2020 Jul-Aug;36(5):857-859. doi: 10.12669/pjms.36.5.3042.

DOI:10.12669/pjms.36.5.3042
PMID:32704252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7372685/
Abstract
摘要

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本文引用的文献

1
Artificial intelligence in medical education.人工智能在医学教育中的应用。
Med Teach. 2019 Sep;41(9):976-980. doi: 10.1080/0142159X.2019.1595557. Epub 2019 Apr 21.
2
Reimagining Medical Education in the Age of AI.重塑人工智能时代的医学教育。
AMA J Ethics. 2019 Feb 1;21(2):E146-152. doi: 10.1001/amajethics.2019.146.
3
The fate of medicine in the time of AI.人工智能时代医学的命运。
Lancet. 2018 Dec 1;392(10162):2331-2332. doi: 10.1016/S0140-6736(18)31925-1. Epub 2018 Oct 11.
4
Clinically applicable deep learning for diagnosis and referral in retinal disease.临床适用的深度学习在视网膜疾病的诊断和转诊中的应用。
Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13.
5
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.人机大战:深度学习卷积神经网络与 58 位皮肤科医生诊断黑色素瘤皮肤镜图像的对比研究
Ann Oncol. 2018 Aug 1;29(8):1836-1842. doi: 10.1093/annonc/mdy166.
6
Development of a Laparoscopic Box Trainer Based on Open Source Hardware and Artificial Intelligence for Objective Assessment of Surgical Psychomotor Skills.基于开源硬件和人工智能的腹腔镜箱式训练器的开发,用于手术心理运动技能的客观评估。
Surg Innov. 2018 Aug;25(4):380-388. doi: 10.1177/1553350618777045. Epub 2018 May 29.
7
Combined robot assisted right partial nephrectomy and cholecystectomy with single docking.机器人辅助右半肾切除术和胆囊切除术联合单次对接。
J Robot Surg. 2019 Feb;13(1):167-169. doi: 10.1007/s11701-018-0805-6. Epub 2018 Mar 29.
8
Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.深度学习预测快速心肌灌注 SPECT 中的阻塞性疾病:一项多中心研究。
JACC Cardiovasc Imaging. 2018 Nov;11(11):1654-1663. doi: 10.1016/j.jcmg.2018.01.020. Epub 2018 Mar 14.
9
Medical Education Must Move From the Information Age to the Age of Artificial Intelligence.医学教育必须从信息时代迈向人工智能时代。
Acad Med. 2018 Aug;93(8):1107-1109. doi: 10.1097/ACM.0000000000002044.
10
Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.预测未来——大数据、机器学习与临床医学。
N Engl J Med. 2016 Sep 29;375(13):1216-9. doi: 10.1056/NEJMp1606181.