ArticleJournal of educational evaluation for health professions2019
Expert-led and artificial intelligence (AI) system-assisted tutoring course increase confidence of Chinese medical interns on suturing and ligature skills: prospective pilot study.
Article in Journal of educational evaluation for health professions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Artificial intelligence augmented tutoring vs expert instruction on learning simulated general surgical skills: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Effectiveness of AI-assisted medical education for Chinese undergraduate medical students: a meta-analysis.BMC medical education · 2025Pooled it
- A systematic review and sequential explanatory synthesis: Artificial intelligence in healthcare education, a case of nursing.International nursing review · 2025Pooled it
- A systematic review of the impact of artificial intelligence on educational outcomes in health professions education.BMC medical education · 2025Pooled it
- Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary study.Wiener medizinische Wochenschrift (1946) · 2024Trial
- Performance evaluation of generative pre-trained transformer on the National Veterinary Licensing Examination in Japan.Scientific reports · 2026Article
- Associations between stressors and leave-taking behavior among nursing interns: a cross-sectional quantitative survey.Frontiers in medicine · 2026Article
- Artificial Intelligence in Medical Education: a Scoping Review of the Evidence for Efficacy and Future Directions.Medical science educator · 2025Review
- Exploring the Role of Artificial Intelligence (AI)-Driven Training in Laparoscopic Suturing: A Systematic Review of Skills Mastery, Retention, and Clinical Performance in Surgical Education.Healthcare (Basel, Switzerland) · 2025Review
- Review
- The strengths, weaknesses, opportunities, and threats of generative artificial intelligence: a qualitative study of undergraduate nursing students.Frontiers in public health · 2025Article
- Article
- Topics and Trends of Health Informatics Education Research: Scientometric Analysis.JMIR medical education · 2024Article
- Technological advancements in surgical laparoscopy considering artificial intelligence: a survey among surgeons in Germany.Langenbeck's archives of surgery · 2023Article
- Artificial Intelligence Methods and Artificial Intelligence-Enabled Metrics for Surgical Education: A Multidisciplinary Consensus.Journal of the American College of Surgeons · 2022Article
- The use and future perspective of Artificial Intelligence-A survey among German surgeons.Frontiers in public health · 2022Article
- Application of Artificial Intelligence in Medicine: An Overview.Current medical science · 2021Review
- An Educational Network for Surgical Education Supported by Gamification Elements: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2020Article
- Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review.JMIR medical education · 2020Review
- Artificial Intelligence developments in medical education: a conceptual and practical framework.MedEdPublish (2016) · 2020Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeLack of confidence in suturing/ligature skills due to insufficient practices and assessments was common among novice Chinese medical interns. This study aims to improve the skill acquisition of medical interns with new interventional program.
methodsIn addition to regular clinical training, additional expert-led or expert-led plus artificial intelligent (AI) system tutoring courses were implemented during the first 2 week of surgical block in our hospital. Interns can voluntarily join the regular (no additional tutoring), expert-led tutoring or expert-led+AI tutoring groups freely. In regular group, interns (n=25) did not join additional tutoring. The expert-led group received 3-hour expert-led tutoring and in-training formative assessment after twice practices. After similar expert-led course as expert-led group, the expert-led+AI group (n=23) practice and assess their skills on the AI system. Through the comparison with the internal standard, the system automatically recorded and evaluated every intern's suturing/ligature skills. Among expert-led+AI group, the performance and confidence were compared between interns whose doing one, two and three times of AI practices.
resultsThe end-of-surgical block OSCE' performance and self-assessed confidence for the suturing/ligature skills were highest in expert-led+AI group. In comparison with expert-led group, with similar performance in in-training assessment, expert-led+AI group have higher degree of improvement in their performance in end-of surgical block OSCE. Especially, in expert-led+AI group, the best performance and highest post-OSCE confidence were noted among trice AI practicing group.
conclusionThis pilot study demonstrated the promising effects of incorporation of additional expert-led plus AI system-assisted tutoring course into regular surgical curriculum.
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