ReviewCureus2023
ChatGPT in Medical Education and Research: A Boon or a Bane?
Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in orthopaedic education, training and research: a systematic review.BMC medical education · 2025Pooled it
- Implementation and evaluation of an optimized surgical clerkship teaching model utilizing ChatGPT.BMC medical education · 2024Trial
- Assessing ChatGPT and Gemini Responses to Common Patient Questions Regarding Augmentation Mammaplasty.Aesthetic plastic surgery · 2026Article
- Ethical engagement with artificial intelligence in faculty research education: evaluation of the New Knowledge Help (NKH) approach.BMC medical education · 2026Article
- Review
- A systematic review of the limitations of large language models in generating healthcare content.PLOS digital health · 2026Article
- The new wave of generative artificial intelligence in medical education.Korean journal of medical education · 2026Article
- Examining Artificial Intelligence Chatbots' Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis.JMIR public health and surveillance · 2026Article
- Large language models in nephrology: applications and challenges in chronic kidney disease management.Renal failure · 2025Review
- Empowering standardized residency training in China through large language models: problem analysis and solutions.Annals of medicine · 2025Article
- A Comparison of Artificial Intelligence Platforms in the Utility of Answering Frequently Asked Questions About Carpal Tunnel Syndrome: A Cross-Sectional Study.Journal of hand surgery global online · 2025Article
- Evaluating ChatGPT's recommendations for systematic treatment decisions in recurrent or metastatic head and neck squamous cell carcinoma: Perspectives from experts and junior doctors.International journal of cancer · 2025Article
- ChatGPT in Medical Education: Bibliometric and Visual Analysis.JMIR medical education · 2025Review
- Application and ethical implication of generative artificial intelligence in medical education: a cross-sectional study among critical care academic physicians in China.BMC medical education · 2025Article
- Assessing ChatGPT's Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis.JMIR cancer · 2025Article
- Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study.BMC medical education · 2025Article
- Patient- and clinician-based evaluation of large language models for patient education in prostate cancer radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025Article
- Novel Evaluation Metric and Quantified Performance of ChatGPT-4 Patient Management Simulations for Early Clinical Education: Experimental Study.JMIR formative research · 2025Article
- Correlates of Medical and Allied Health Students' Engagement with Generative AI in Nigeria.Medical science educator · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Science fiction literature and films no longer focus on artificial intelligence. In contrast to all other aspects of life, medical education and clinical patient care have been progressing slowly. Recently, a lot of text from the internet was used to construct and train chatbots, especially ChatGPT. The language model ChatGPT, created by OpenAI, has emerged as a useful resource for medical research and education. It has proven to be a useful tool for researchers, students, and medical professionals because of its capacity to produce human-like answers to challenging medical queries. However, using ChatGPT also has significant drawbacks. The possibility of erroneous or biased information being spread, which could have negative effects on patient care, is one of the key worries. Moreover, the overreliance on technology in medical education could also lead to a decline in critical thinking and clinical decision-making skills. Overall, ChatGPT has the potential to be a boon to medical education and research, but its use must be accompanied by caution and critical evaluation.
Indexed as
Identifiers
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.