ReviewWorld journal of gastroenterology2024
May ChatGPT be a tool producing medical information for common inflammatory bowel disease patients' questions? An evidence-controlled analysis.
Review in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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
38 citing papers in PubMed.
- Clinical Safety and Reliability of Large Language Models in Answering Hemorrhoid-Related Patient Questions: A Comparative Study of ChatGPT, Gemini, and DeepSeek.Healthcare (Basel, Switzerland) · 2026Article
- Artificial intelligence in the management of inflammatory bowel disease: What's next?World journal of gastrointestinal pharmacology and therapeutics · 2026Review
- Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges.World journal of hepatology · 2026Review
- Benchmarking public large language model responses to patient-facing inflammatory bowel disease questions: informational quality, transparency proxies, and readability.Frontiers in public health · 2026Article
- Responsible use of large language models in gastroenterology and hepatology.Therapeutic advances in gastroenterology · 2026Review
- Evaluation of the effectiveness of ChatGPT in supporting the management of autoimmune hepatitis effectiveness of ChatGPT in autoimmune hepatitis.BMC gastroenterology · 2025Article
- Large language models for clinical decision support in gastroenterology and hepatology.Nature reviews. Gastroenterology & hepatology · 2025Review
- ChatGPT-4o as a digital health tool for diabetes technology education: insights on reliability, quality, and readability.Endocrine · 2025Article
- Article
- Reddit as a Social Media Self-Management Tool for Inflammatory Bowel Disease: Qualitative Analysis.Journal of medical Internet research · 2025Article
- A Quality Assessment and Evaluation of Credible Online Dietary Resources for Patients with an Ileoanal Pouch.Journal of clinical medicine · 2025Article
- Assessing ChatGPT-v4 for Guideline-Concordant Inflammatory Bowel Disease: Accuracy, Completeness, and Temporal Drift.Journal of clinical medicine · 2025Article
- A Systematic Review of User Attitudes Toward GenAI: Influencing Factors and Industry Perspectives.Journal of Intelligence · 2025Review
- Areas of research focus and trends in the research on the application of AIGC in healthcare.Journal of health, population, and nutrition · 2025Article
- Inter-Rater Disagreements in Applying the Montreal Classification for Crohn's Disease: The Five-Nations Survey Study.United European gastroenterology journal · 2025Article
- How appropriately can generative artificial intelligence platforms, including GPT-4, Gemini, Bing, and Wrtn, answer questions about colon cancer in the Korean language?Annals of coloproctology · 2025Article
- Application of Internet Hospitals in the Disease Management of Patients With Ulcerative Colitis: Retrospective Study.Journal of medical Internet research · 2025Article
- Assessing the Validity, Safety, and Utility of ChatGPT's Responses for Patients with Frozen Shoulder.Life (Basel, Switzerland) · 2025Article
- An Access-Focused Patient-Centric Value Assessment Framework for Medication Formulary Decision-Making in Immune-Mediated Inflammatory Diseases.Advances in therapy · 2025Article
- Quantum leap in medical mentorship: exploring ChatGPT's transition from textbooks to terabytes.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence is increasingly entering everyday healthcare. Large language model (LLM) systems such as Chat Generative Pre-trained Transformer (ChatGPT) have become potentially accessible to everyone, including patients with inflammatory bowel diseases (IBD). However, significant ethical issues and pitfalls exist in innovative LLM tools. The hype generated by such systems may lead to unweighted patient trust in these systems. Therefore, it is necessary to understand whether LLMs (trendy ones, such as ChatGPT) can produce plausible medical information (MI) for patients. This review examined ChatGPT's potential to provide MI regarding questions commonly addressed by patients with IBD to their gastroenterologists. From the review of the outputs provided by ChatGPT, this tool showed some attractive potential while having significant limitations in updating and detailing information and providing inaccurate information in some cases. Further studies and refinement of the ChatGPT, possibly aligning the outputs with the leading medical evidence provided by reliable databases, are needed.
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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.