Comparison of large language models in the management of pediatric ureteropelvic junction obstruction: a comparative analysis of 125 clinical scenarios
Jul 2026· Pediatric surgery international (Print)· Vol 42· 0 citations· 15 references
Medicine
TL;DR
ChatGPT is currently the most robust model for guideline-based management of UPJO, however, the “deceptive confidence” of models like Copilot poses a risk of misinformation and future integration should explore multimodal capabilities.
The evaluated LLMs showed high concordance with EAU 2026 first-line treatment recommendations for ureteral stones, and Concordance was complete in non–priority-sensitive scenarios requiring URS prioritization.
E. D. Demirkıran· Bolu Abant Izzet Baysal Univ...· 0 citations
This exploratory scenario-based study demonstrates model-specific, rather than universal, language effects on LLM performance in dental trauma management.
Although large language models present potential as supportive decision-making tools in the evaluation of root resorption, diagnostic inconsistencies, limitations in source accuracy, and variability in responses restrict their independent use in clinical applications, the outputs generated by these models should be int...
Öznur Küçük Keleş, Z. Arslan· Odontology : official journa...· 0 citations
Objective
To evaluate the diagnostic performance of multiple large language models (LLMs) against expert consensus in determining surgical intervention needs for feline metacarpal and metatarsal fractures.
Methods
In this retrospective study (December 2023 to February 2025), 73 clinical cases of feline metacarpal and...
S. Okur, Ç. Özkalıpçı, Büşra Baykal et al.· Journal of the American Vete...· 0 citations
PPS demonstrated superior predictive value for both hydronephrosis improvement and cortical gain, correlating consistently with risk stratification, in children with PUJO.
Subhan Ahmed Sajjad, S. Saulat, Jahanzeb Shaikh et al.· Pakistan journal of medicine...· 0 citations
Final recommendation concordance did not meet the protocol-defined benchmark, ChatGPT-4o never altered an MTB decision, and clinically relevant errors occurred even among highly concordant outputs, showing that concordance alone does not guarantee safety.
J. De la Torre-Trillo, A. Munuera, M. D. Ureña et al.· Clinical and Translational O...· 0 citations
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