Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantation

GPT-4 consistently provided more accurate and reliable clinical recommendations with higher percentages of full agreements both in renal and liver transplantation compared with ChatGPT. Our findings support the potential utility of AI models like ChatGPT and GPT-4 in AI-assisted clinical practice as sources of accurate, individualized medical information and facilitating decision-making. The progression and refinement of such AI-based tools could reshape the future of clinical practice, making their early adoption and adaptation by physicians a necessity.

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Publication Details

Journal
World Journal of Transplantation
Published
2025-04-18
DOI
https://doi.org/10.5500/wjt.v15.i3.103536
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantation

Olga Sitsiani, Chrysanthos D. Christou, Anastasios Tefas, Panagiotis Boutos et al.
2 citations
World Journal of Transplantation
Artificial Intelligence in Healthcare and Education
1.31
article

Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantation

Olga Sitsiani, Chrysanthos D. Christou, Anastasios Tefas, Panagiotis Boutos, Georgios Katsanos, Vassilios Papalois, Georgios Tsoulfas, Georgios Papadakis
article en
2 citations

Abstract

GPT-4 consistently provided more accurate and reliable clinical recommendations with higher percentages of full agreements both in renal and liver transplantation compared with ChatGPT. Our findings support the potential utility of AI models like ChatGPT and GPT-4 in AI-assisted clinical practice as sources of accurate, individualized medical information and facilitating decision-making. The progression and refinement of such AI-based tools could reshape the future of clinical practice, making their early adoption and adaptation by physicians a necessity.

World Journal of TransplantationVol. 15(3)
Imperial College Healthcare NHS Trust (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Aristotle University of Thessaloniki (GR)
Openalex Percentile: Top 17%
Artificial Intelligence in Healthcare and Education
1.31
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