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

Mobile Approaches to Medical Education (74) Continuing Medical Education (CME) for Doctors (146) Graduate and Postgraduate Education for Health Professionals (133) New Methods and Approaches in Medical Education (374) Specialist Training for Doctors (61) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (409) e-Learning and Digital Medical Education (902)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54228, first published .
Distance Learning During the COVID-19 Lockdown and Self-Assessed Competency Development Among Radiology Residents in China: Cross-Sectional Survey

Distance Learning During the COVID-19 Lockdown and Self-Assessed Competency Development Among Radiology Residents in China: Cross-Sectional Survey

Distance Learning During the COVID-19 Lockdown and Self-Assessed Competency Development Among Radiology Residents in China: Cross-Sectional Survey

Authors of this article:

Peicheng Wang1, 2 Author Orcid Image ;   Ziye Wu1 Author Orcid Image ;   Jingfeng Zhang3 Author Orcid Image ;   Yanrong He1 Author Orcid Image ;   Maoqing Jiang3 Author Orcid Image ;   Jianjun Zheng3 Author Orcid Image ;   Zhenchang Wang4 Author Orcid Image ;   Zhenghan Yang4 Author Orcid Image ;   Yanhua Chen1, 2, 5 Author Orcid Image ;   Jiming Zhu1, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Abughazalah N, Khan M. A dual hesitant fuzzy entropy-TOPSIS framework for multi-criteria evaluation of medical E-learning systems. Scientific Reports 2025;15(1) View