This paper is in the following e-collection/theme issue:

Wearables and MHealth Viewpoints (64) Artificial Intelligence (826) Clinical Information and Decision Making (1041) Tutorial (50) Big Data (183) Decision Support for Health Professionals (854) Machine Learning (1121)

Published on in Vol 7 , No 8 (2019) :August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11966, first published .
Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Authors of this article:

Igbe Tobore 1, 2 Author Orcid Image ;   Jingzhen Li 1 Author Orcid Image ;   Liu Yuhang 1 Author Orcid Image ;   Yousef Al-Handarish 1 Author Orcid Image ;   Abhishek Kandwal 1 Author Orcid Image ;   Zedong Nie 1 Author Orcid Image ;   Lei Wang 1 Author Orcid Image
Article Authors Cited by (77) Tweetations (2) Metrics

Igbe Tobore   1, 2 * , BTech, MTech ;   Jingzhen Li   1 * , BSc (Hons), MEng ;   Liu Yuhang   1 , BSc (Hons), MEng ;   Yousef Al-Handarish   1 , BSc, MSc ;   Abhishek Kandwal   1 , BSc, MSc, PhD ;   Zedong Nie   1 , BSc, MSc, PhD ;   Lei Wang   1 , BSc, MSc, PhD

1 Center for Medical Robotics and Minimally Invasive Surgical Devices, Shenzhen Institutes of Advance Technology, Chinese Academy of Sciences, Shenzhen, China

2 Graduate University, Chinese Academy of Sciences, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Zedong Nie, BSc, MSc, PhD
  • Center for Medical Robotics and Minimally Invasive Surgical Devices
  • Shenzhen Institutes of Advance Technology
  • Chinese Academy of Sciences
  • 1068 Xueyuan Avenue, Shenzhen University, Xili Town, Nanshan District
  • Shenzhen
  • China
  • Phone: 86 755-86585213
  • Email: zd.nie@siat.ac.cn