SynthesisInternational dental journal2025
AI-Powered Problem- and Case-based Learning in Medical and Dental Education: A Systematic Review and Meta-analysis.
Synthesis in International dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Impact of Early Clinical Exposure on Competency Development in Dental Students: A Systematic Review and Meta-Analysis.International dental journal · 2026Pooled it
- A PBL-, CBL-, and seminar-based blended teaching model for chairside instruction of undergraduate dental students: a randomized controlled trial.BMC medical education · 2025Trial
- Promise, Mimicry, and Surveillance: Responsibly Integrating Artificial Intelligence With Socratic Inquiry in Medical Education.JMIR medical education · 2026Article
- AI + Drawing Enhances the Efficiency of Human Anatomy Education.Clinical anatomy (New York, N.Y.) · 2026Article
- Mapping the research landscape of virtual reality and artificial intelligence in medical education evaluation: A bibliometric analysis.Medicine · 2026Article
- Strengths and Potential Pitfalls of the Use of Artificial Intelligence in Psychiatric Education and Practice.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- Use of case-based, problem-based and team-based learning in public health education - a scoping review.BMJ open · 2026Article
- AI and the transformation of clinical reasoning: A classroom perspective.PLOS digital health · 2026Article
- Generative Artificial Intelligence-driven orthodontic education practices.BMC medical education · 2026Review
- Implementation and evaluation of customized artificial intelligence personal tutor (chat GPT physiology companion) for medical students in the reproduction module.BMC medical education · 2026Article
- Application of problem-based learning in EBERs-ISH theoretical and practical teaching.BMC medical education · 2026Article
- Application of the combined PBL-CBL teaching method of anaphylactic shock prevention and care in the fundamental nursing course.BMC medical education · 2026Article
- A novel extended flipped classroom model helps dental undergraduates grow into dentists.BMC medical education · 2026Article
- Evaluation of a Hybrid Case-Based Learning and Small-Group Teaching Model Using Artificial Intelligence-Assisted Case Generation: An Innovative Dental Education Study.Advances in medical education and practice · 2026Article
- A narrative discussion on the impact of respiratory infectious diseases on dental education in China: implications for curriculum design and student outcomes.Frontiers in dental medicine · 2026Review
- Artificial intelligence driven transformation of pediatric eye health education based on bibliometric analysis and a cross-sectional survey.Frontiers in public health · 2026Article
- From lecture hall to clinic: dental students' AI readiness and anxiety across educational stages.BMC medical education · 2025Article
- Performance of a Vision-Language Model in Detecting Common Dental Conditions on Panoramic Radiographs Using Different Tooth Numbering Systems.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
INTRODUCTION AND
aimsAdvances in artificial intelligence (AI) technology have generated a revolution in medical and dental education, which may offer promising solutions to tackle the challenges of traditional problem-based learning (PBL) and case-based learning (CBL). The objective of this study was to assess the available evidence concerning AI-powered PBL/CBL on students' knowledge acquisition, clinical reasoning capability and satisfaction.
methodsAn electronic search was carried out on PubMed, MEDLINE, the Cochrane Central Register of Controlled Trials and Web of Science. Clinical trials published in English with full text available, which implemented AI technologies in PBL/CBL in the medical/dental field and evaluated knowledge acquisition, clinical reasoning and/or satisfaction were included. The quality assessment was conducted using RoB 2 by two calibrated assessors. Data synthesis and meta-analysis were performed, the standardised mean difference (SMD) or standardised mean (SM) and 95% confidence intervals (CIs) were calculated, and heterogeneity was quantified.
resultsSix randomized controlled trials were included, with an overall risk of bias judged to have 'some concerns'. For knowledge acquisition, 4 studies were included in the meta-analysis. A low heterogeneity (I² = 20%) was detected and a fixed-effect model was utilised. Compared with the control group, the AI intervention significantly improved knowledge acquisition by 46% (95% Cls [0.18-0.73], P = .001). For clinical reasoning capability, due to methodological and measurement heterogeneity among studies, statistical analysis was not feasible. Three studies were selected for the meta-analysis of students' satisfaction. Heterogeneity was moderate (I² = 32%), and a generic inverse variance method was selected. The pooled SM score was 0.7 (95% Cls [0.47-0.92]), and the overall effect was statistically significant (P < .00001).
conclusionDespite limitations such as the limited number of included studies and the overall risk of bias concerns, AI-powered PBL/CBL has the potential to enhance students' knowledge acquisition and learner satisfaction compared to traditional learning approaches. CLINICAL RELEVANCE: Not applicable.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.