ArticleJMIR dermatology2024
Potential Use of ChatGPT in Responding to Patient Questions and Creating Patient Resources.
Article in JMIR dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
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- A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization.Scientific data · 2026Article
- Utility of ChatGPT-4o in Creating Patient Handouts in Ophthalmology: A Comparison With American Academy of Ophthalmology Educational Materials.Translational vision science & technology · 2026Article
- Comparison of different artificial intelligence tools' answers to questions related to early intervention: ChatGPT versus Gemini.Revista da Associacao Medica Brasileira (1992) · 2026Article
- The double-edged sword of generative AI in dermatology: a multi-component cross-sectional study on physician burnout, patient satisfaction, and communication quality.Frontiers in medicine · 2026Article
- Evaluation of artificial language-adjusted readability on cataract surgery queries.Digital journal of ophthalmology : DJO · 2026Article
- Evaluation of ChatGPT's performance on answering pediatric urology questions based on association guidelines.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025Article
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- Token Probabilities to Mitigate Large Language Models Overconfidence in Answering Medical Questions: Quantitative Study.Journal of medical Internet research · 2025Article
- Application of ChatGPT as a content generation tool in continuing medical education: acne as a test topic.Dermatology reports · 2025Article
- Automating Responses to Patient Portal Messages Using Generative AI.Applied clinical informatics · 2025Article
- Integrating AI and Assistive Technologies in Healthcare: Insights from a Narrative Review of Reviews.Healthcare (Basel, Switzerland) · 2025Review
- Review
- Using large language model to guide patients to create efficient and comprehensive clinical care message.Journal of the American Medical Informatics Association : JAMIA · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ChatGPT (OpenAI) is an artificial intelligence-based free natural language processing model that generates complex responses to user-generated prompts. The advent of this tool comes at a time when physician burnout is at an all-time high, which is attributed at least in part to time spent outside of the patient encounter within the electronic medical record (documenting the encounter, responding to patient messages, etc). Although ChatGPT is not specifically designed to provide medical information, it can generate preliminary responses to patients' questions about their medical conditions and can precipitately create educational patient resources, which do inevitably require rigorous editing and fact-checking on the part of the health care provider to ensure accuracy. In this way, this assistive technology has the potential to not only enhance a physician's efficiency and work-life balance but also enrich the patient-physician relationship and ultimately improve patient outcomes.
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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.