On Artificial Intelligence and Deep Learning Within Medical Education

被引:25
作者
Carin, Lawrence [1 ,2 ]
机构
[1] Duke Univ, Elect & Comp Engn, Durham, NC 27708 USA
[2] Duke Univ, Res, Durham, NC 27708 USA
关键词
D O I
10.1097/ACM.0000000000003630
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The methodology of deep learning, a component of machine learning and artificial intelligence, is introduced. The opportunity for this technology to automate some aspects of medical practice is reviewed. Finally, a discussion is provided on the integration of concepts from deep learning into medical education.
引用
收藏
页码:S10 / S11
页数:2
相关论文
共 12 条
[1]  
[Anonymous], 2003, International Journal of Sustainability in Higher Education, DOI [10.1108/14676370310455332, DOI 10.1108/14676370310455332]
[2]   Deep learning algorithm predicts diabetic retinopathy progression in individual patients [J].
Arcadu, Filippo ;
Benmansour, Fethallah ;
Maunz, Andreas ;
Willis, Jeff ;
Haskova, Zdenka ;
Prunotto, Marco .
NPJ DIGITAL MEDICINE, 2019, 2 (1)
[3]  
Carin L., 2018, JAMA
[4]  
Chan KS, JMIR MED ED 13 ACTUA
[5]   Dermatologist-level classification of skin cancer with deep neural networks (vol 542, pg 115, 2017) [J].
Esteva, Andre ;
Kuprel, Brett ;
Novoa, Roberto A. ;
Ko, Justin ;
Swetter, Susan M. ;
Blau, Helen M. ;
Thrun, Sebastian .
NATURE, 2017, 546 (7660) :686-686
[6]   A survey on deep learning techniques for image and video semantic segmentation [J].
Garcia-Garcia, Alberto ;
Orts-Escolano, Sergio ;
Oprea, Sergiu ;
Villena-Martinez, Victor ;
Martinez-Gonzalez, Pablo ;
Garcia-Rodriguez, Jose .
APPLIED SOFT COMPUTING, 2018, 70 :41-65
[7]   Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance [J].
Khalid, Shuja ;
Goldenberg, Mitchell ;
Grantcharov, Teodor ;
Taati, Babak ;
Rudzicz, Frank .
JAMA NETWORK OPEN, 2020, 3 (03) :e201664
[8]   Machine learning and medical education [J].
Kolachalama, Vijaya B. ;
Garg, Priya S. .
NPJ DIGITAL MEDICINE, 2018, 1
[9]  
Paranjape Ketan, 2019, JMIR Med Educ, V5, pe16048, DOI 10.2196/16048
[10]   Application of a machine learning algorithm to predict malignancy in thyroid cytopathology [J].
Range, Danielle D. Elliott ;
Dov, David ;
Kovalsky, Shahar Z. ;
Henao, Ricardo ;
Carin, Lawrence ;
Cohen, Jonathan .
CANCER CYTOPATHOLOGY, 2020, 128 (04) :287-295