ArticleMedical science educator2025
Use of Large Language Models for Rapid Quantitative Feedback in Case-Based Learning: A Pilot Study.
Article in Medical science educator, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI-supported case-based learning in medical education: a comprehensive scoping review.Frontiers in medicine · 2026Pooled it
- Human medical documentation significantly outperforms ChatGPT-4o in critical clinical dimensions: A blinded comparative assessment in paediatric orthopaedics.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Trial
- Generative AI-Assisted Progressive-Disclosure Case-Based Learning for Clinical Reasoning in Occupational Medicine: Quasi-Experimental Study.JMIR medical education · 2026Article
- Education Research: Integrating AI-Enabled Interactive Case-Based Learning in a Preclinical Neurosciences Course.Neurology. Education · 2026Article
- AI for Clinical Competency Assessment: Scoping Review of Methods and Applications.JMIR medical education · 2026Article
- Education Research: Quality of Narrative Feedback Generated by a Large Language Model Compared With Expert Faculty for Case-Based Learning in Neurology Education.Neurology. Education · 2026Article
- Education Research: Creating Online Interactive Case-Based Learning Experiences From Educational Case Reports With Large Language Models: A Feasibility Study.Neurology. Education · 2025Article
- Artificial intelligence in perioperative medicine education: A feasibility test of case-based learning.Journal of perioperative practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Large language models (LLMs) may be able to deliver interactive case-based content and score student interactions with such cases. In this study, GPT-4o demonstrated a high correlation with expert scorers in the evaluation of medical students' interactions with cases. A difference between LLM scores and expert scorers was corrected through calibration. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-025-02343-6.
Indexed as
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What OpenQuestion holds
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.