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

Machine Learning (1465) Artificial Intelligence (1371) New and Emerging Methods and Tools in Surgery and Anaesthesiology (41) Surgical Treatment Planning (12) Artificial Intelligence in Surgery and Perioperative Medicine (27)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24721, first published .
Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning

Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning

Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning

Authors of this article:

Zhipeng Chen1 Author Orcid Image ;   Daniel D Zeng2 Author Orcid Image ;   Ryan G N Seltzer3 Author Orcid Image ;   Blake D Hamilton4 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Zhipeng Chen   1 , PhD ;   Daniel D Zeng   2 , PhD ;   Ryan G N Seltzer   3 , PhD ;   Blake D Hamilton   4 , MD

1 Shenzhen Artificial Intelligence and Data Science Institute (Longhua), Longhua, Shenzhen, China

2 The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3 Translational Analytics and Statistics, Tucson, AZ, United States

4 School of Medicine, University of Utah, Salt Lake City, UT, United States

Corresponding Author:

  • Zhipeng Chen, PhD
  • Shenzhen Artificial Intelligence and Data Science Institute (Longhua)
  • Building 26, Technology Innovation Center
  • Hongshan 6979
  • Longhua, Shenzhen, 518110
  • China
  • Phone: 86 21071934
  • Email: zhipengchen@saidi.org.cn