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

Artificial Intelligence (AI) in Medical Education (769) e-Learning and Digital Medical Education (1601) Human Factors and Usability Case Studies (1311) New Methods and Approaches in Medical Education (642) Generative Language Models Including ChatGPT (1534)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95039, first published .
Medical professionals in scrubs collaborating in a modern hospital hallway

Scaffolded AI-Supported Problem-Based Learning for Medical Interns: Exploratory Retrospectively Registered Randomized Controlled Evaluation With a Voluntary Feasibility Follow-Up

Scaffolded AI-Supported Problem-Based Learning for Medical Interns: Exploratory Retrospectively Registered Randomized Controlled Evaluation With a Voluntary Feasibility Follow-Up

Authors of this article:

Zhengqi Zhao1, 2 Author Orcid Image ;   Baijing Wu3 Author Orcid Image ;   Shuyuan Tian3 Author Orcid Image ;   Haigen Hu1 Author Orcid Image ;   Pengyi Hao1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Zhengqi Zhao   1, 2 * , BEng ;   Baijing Wu   3 * , BM ;   Shuyuan Tian   3 , PhD ;   Haigen Hu   1 , PhD ;   Pengyi Hao   1 , PhD

1 Department of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang, China

2 Zhejiang Institute of Artificial Intelligence, Hangzhou, Zhejiang, China

3 Department of Ultrasound, Tongde Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China

*these authors contributed equally

Corresponding Author:

  • Pengyi Hao, PhD
  • Department of Computer Science and Technology
  • Zhejiang University of Technology
  • No. 288 Liuhe Road, Xihu District
  • Hangzhou, Zhejiang 310023
  • China
  • Phone: 86 158 6913 2329
  • Email: haopy@zjut.edu.cn