Evidence map›Paper›PMID 41623723›Full record

ArticleDigital health

Generative artificial intelligence in palliative care: A comparative evaluation of ChatGPT-4o and ChatGPT-5 as clinical decision support tools.

Emre Vuraloglu

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Emre VuralogluAhi Evran University Faculty of Medicine, Department of Family Medicine, Kirşehir Training and Research Hospital, Kirşehir, Turkey.ORCID https://orcid.org/0000-0001-6634-0671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Generative artificial intelligence (AI) tools such as ChatGPT are increasingly integrated into healthcare, with potential to support clinical decision-making and improve patient outcomes. In palliative care, where access to multidisciplinary expertise is often limited, these tools may provide support for symptom management. This study aimed to systematically compare ChatGPT-4o and ChatGPT-5 for common palliative care symptoms across four key domains: clinical appropriateness, safety, ethical sensitivity, and understandability. Methods: Clinical scenarios representing 10 key symptoms (pain, anxiety, pressure ulcer, nausea, delirium, dyspnea, constipation, diarrhea, dry mouth, and sleep disturbance) were presented first to ChatGPT-4o and, 1 week later, to ChatGPT-5. Responses were evaluated independently by two physicians using a five-point Likert scale. Inter-rater agreement was analyzed with weighted Cohen's kappa and Spearman's correlation. The statistical analyses in this study were conducted using the Friedman test, Mann-Whitney U test, and Wilcoxon signed-rank test. Results: Inter-rater agreement was consistently high across all domains (kappa 0.806-0.886, Spearman's rho 0.813-0.888; all Conclusions: ChatGPT-5 demonstrated measurable improvements over ChatGPT-4o in key domains of palliative care symptom management, while maintaining consistently high ethical sensitivity. These findings provide the first systematic evidence of the potential of generative AI, with the updated ChatGPT-5 model released in August 2025, as a complementary and reliable clinical decision support tool in palliative care.

Indexed as

Artificial intelligenceChatGPTdecision support systemslarge language modelpalliative care

Identifiers

PMID41623723
PMCPMC12855733

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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 Socratic graph.