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

Adoption and Change Management of eHealth Systems (877) Artificial Intelligence (2059) Machine Learning (2032) New and Emerging Methods and Tools in Surgery and Anesthesiology (53)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17647, first published .
Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study

Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study

Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study

Authors of this article:

Soo Jin Park1 Author Orcid Image ;   Eun Ji Lee1 Author Orcid Image ;   Se Ik Kim1 Author Orcid Image ;   Seong-Ho Kong2 Author Orcid Image ;   Chang Wook Jeong3 Author Orcid Image ;   Hee Seung Kim1 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Soo Jin Park   1 , MD ;   Eun Ji Lee   1 , MD ;   Se Ik Kim   1 , MD ;   Seong-Ho Kong   2 , MD, PhD ;   Chang Wook Jeong   3 , MD, PhD ;   Hee Seung Kim   1 , MD, PhD

1 Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea

2 Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea

3 Department of Urology, Seoul National University College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Hee Seung Kim, MD, PhD
  • Department of Obstetrics and Gynecology
  • Seoul National University College of Medicine
  • 101 Daehak-Ro
  • Jongno-Gu
  • Seoul 03080
  • Republic of Korea
  • Phone: 82 02-2072-4863
  • Email: bboddi0311@gmail.com