ArticleScientific reports2023
Evaluating the use of large language model in identifying top research questions in gastroenterology.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.
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Who cites it
40 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Human versus artificial intelligence: evaluating ChatGPT's performance in conducting published systematic reviews with meta-analysis in chronic pain research.Regional anesthesia and pain medicine · 2026Pooled it
- Large Language Models in Gastroenterology: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Emerging applications of NLP and large language models in gastroenterology and hepatology: a systematic review.Frontiers in medicine · 2024Pooled it
- Proposed Context-of-Use Evaluation Framework for Medication Management Tasks Completed by Generative Artificial Intelligence.medRxiv : the preprint server for health sciences · 2026Article
- Domain specific multimodal large language model for automated endoscopy reporting with multicenter prospective validation.NPJ digital medicine · 2026Article
- ChatGPT in precision medicine.APL bioengineering · 2026Review
- Drug or Pokémon? An analysis of the ability of large language models to discern fabricated medications.medRxiv : the preprint server for health sciences · 2026Article
- Evaluating chat generative pretrained transformer in answering questions on endoscopic mucosal resection and endoscopic submucosal dissection.World journal of gastrointestinal oncology · 2025Article
- Chat GPT vs an experienced ophthalmologist: evaluating chatbot writing performance in ophthalmology.Eye (London, England) · 2025Article
- Assessing ChatGPT-v4 for Guideline-Concordant Inflammatory Bowel Disease: Accuracy, Completeness, and Temporal Drift.Journal of clinical medicine · 2025Article
- Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study.JMIR infodemiology · 2025Article
- Evaluating ChatGPT-4 for the Interpretation of Images from Several Diagnostic Techniques in Gastroenterology.Journal of clinical medicine · 2025Article
- Comparing ChatGPT3.5 and Bard recommendations for colonoscopy intervals: Bridging the gap in healthcare settings.Endoscopy international open · 2025Article
- Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsation.PloS one · 2025Article
- Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework.Journal of medical systems · 2024Review
- Esophageal varices detection and bleeding risk assessment with artificial intelligence: a systematic review.iGIE : innovation, investigation and insights · 2024Article
- Performance of ChatGPT and Bard on the medical licensing examinations varies across different cultures: a comparison study.BMC medical education · 2024Article
- The performance of ChatGPT in day surgery and pre-anesthesia risk assessment: a case-control study of 150 simulated patient presentations.Perioperative medicine (London, England) · 2024Article
- Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The field of gastroenterology (GI) is constantly evolving. It is essential to pinpoint the most pressing and important research questions. To evaluate the potential of chatGPT for identifying research priorities in GI and provide a starting point for further investigation. We queried chatGPT on four key topics in GI: inflammatory bowel disease, microbiome, Artificial Intelligence in GI, and advanced endoscopy in GI. A panel of experienced gastroenterologists separately reviewed and rated the generated research questions on a scale of 1-5, with 5 being the most important and relevant to current research in GI. chatGPT generated relevant and clear research questions. Yet, the questions were not considered original by the panel of gastroenterologists. On average, the questions were rated 3.6 ± 1.4, with inter-rater reliability ranging from 0.80 to 0.98 (p < 0.001). The mean grades for relevance, clarity, specificity, and originality were 4.9 ± 0.1, 4.6 ± 0.4, 3.1 ± 0.2, 1.5 ± 0.4, respectively. Our study suggests that Large Language Models (LLMs) may be a useful tool for identifying research priorities in the field of GI, but more work is needed to improve the novelty of the generated research questions.
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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.