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

Training Tools for Medical Students (214) Undergraduate Education for Future Doctors (283) Design of Educational Technology (125) Preliminary Experiences with New Educational Technology (113) Evaluation of Medical Education (309) Mobile Approaches to Medical Education (99) Artificial Intelligence (AI) in Medical Education (890)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72110, first published .
Doctor using AI for ultrasound analysis and diagnosis

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
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Journals

  1. Jia Y, Liu L. Objective Structured Clinical Examinations in Radiology and Medical Imaging Education: Educational Effectiveness, Validity, and Implementation—A Systematic Review. Academic Radiology 2026 View