ArticleCureus2023
Enhancing Expert Panel Discussions in Pediatric Palliative Care: Innovative Scenario Development and Summarization With ChatGPT-4.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Large Language Models in Critical Care Medicine: Scoping Review.JMIR medical informatics · 2025Article
- Article
- Advantages and Limitations of ChatGPT in Healthcare: A Scoping Review.Health science reports · 2025Review
- Article
- Artificial Intelligence, the ChatGPT Large Language Model: Assessing the Accuracy of Responses to the Gynaecological Endoscopic Surgical Education and Assessment (GESEA) Level 1-2 knowledge tests.Facts, views & vision in ObGyn · 2024Article
- The performance of large language models in intercollegiate Membership of the Royal College of Surgeons examination.Annals of the Royal College of Surgeons of England · 2024Article
- Article
- Evaluating panel discussions in ESP classes: an exploration of international medical students' and ESP instructors' perspectives through qualitative research.BMC medical education · 2024Article
- Readability analysis of ChatGPT's responses on lung cancer.Scientific reports · 2024Article
- The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs).NPJ digital medicine · 2024Review
- Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- A Systematic Review of ChatGPT and Other Conversational Large Language Models in Healthcare.medRxiv : the preprint server for health sciences · 2024Article
- Innovating Personalized Nephrology Care: Exploring the Potential Utilization of ChatGPT.Journal of personalized medicine · 2023Review
- How does ChatGPT-4 preform on non-English national medical licensing examination? An evaluation in Chinese language.PLOS digital health · 2023Article
- Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questions.JAMA network open · 2023Article
- Integrating ChatGPT in Medical Education: Adapting Curricula to Cultivate Competent Physicians for the AI Era.Cureus · 2023Article
- ChatGPT and the Future of Digital Health: A Study on Healthcare Workers' Perceptions and Expectations.Healthcare (Basel, Switzerland) · 2023Article
- Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review.Cureus · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents a novel approach to enhance expert panel discussions in a medical conference through the use of ChatGPT-4 (Generative Pre-trained Transformer version 4), a recently launched powerful artificial intelligence (AI) language model. We report on ChatGPT-4's ability to optimize and summarize the medical conference panel recommendations of the first Pan-Arab Pediatric Palliative Critical Care Hybrid Conference, held in Riyadh, Saudi Arabia. ChatGPT-4 was incorporated into the discussions in two sequential phases: first, scenarios were optimized by the AI model to stimulate in-depth conversations; second, the model identified, summarized, and contrasted key themes from the panel and audience discussions. The results suggest that ChatGPT-4 effectively facilitated complex do-not-resuscitate (DNR) conflict resolution by summarizing key themes such as effective communication, collaboration, patient and family-centered care, trust, and ethical considerations. The inclusion of ChatGPT-4 in pediatric palliative care panel discussions demonstrated potential benefits for enhancing critical thinking among medical professionals. Further research is warranted to validate and broaden these insights across various settings and cultures.
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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.