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

Training Tools for Medical Students (159) Artificial Intelligence (AI) in Medical Education (224) Design of Educational Technology (65) Evaluation of Medical Education (149) Mobile Approaches to Medical Education (79) Preliminary Experiences with New Educational Technology (45) Undergraduate Education for Future Doctors (114)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72110, first published .
Development of a Deep Learning–Based Feedback Model to Assist Medical Students Learning Renal Ultrasound Acquisition: Mixed Methods Study

Development of a Deep Learning–Based Feedback Model to Assist Medical Students Learning Renal Ultrasound Acquisition: Mixed Methods Study

Development of a Deep Learning–Based Feedback Model to Assist Medical Students Learning Renal Ultrasound Acquisition: Mixed Methods Study

Authors of this article:

Andy Cheuk Nam Hwang1 Author Orcid Image ;   Rahul Singh1 Author Orcid Image ;   Elizabeth Ann Barrett2 Author Orcid Image ;   Peng Cao1 Author Orcid Image ;   Varut Vardhanabhuti1 Author Orcid Image ;   Pauline Yeung Ng3 Author Orcid Image ;   Gordon Tin Chun Wong4 Author Orcid Image ;   Michael Tiong Hong Co5 Author Orcid Image ;   Elaine Yuen-Phin Lee1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Andy Cheuk Nam Hwang   1 * , MMedSc ;   Rahul Singh   1 * , PhD ;   Elizabeth Ann Barrett   2 , PhD ;   Peng Cao   1 , PhD ;   Varut Vardhanabhuti   1 , PhD ;   Pauline Yeung Ng   3 , MBBS ;   Gordon Tin Chun Wong   4 , MD ;   Michael Tiong Hong Co   5 , MS ;   Elaine Yuen-Phin Lee   1 , MD

1 Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China

2 Academic Unit of Human Communication, Learning, and Development, Faculty of Education, The University of Hong Kong, Hong Kong, China

3 Critical Care Medicine Unit, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China

4 Department of Anaesthesiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China

5 Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China

*these authors contributed equally

Corresponding Author:

  • Elaine Yuen-Phin Lee, MD
  • Department of Diagnostic Radiology
  • School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
  • 21 Sassoon Rd, Pok Fu Lam
  • Hong Kong
  • China
  • Phone: +852 22553307
  • Email: eyplee77@hku.hk