Jul 2026· European Archives of Oto-Rhino-Laryngology· Vol 283, pp. 6503 - 6511· 0 citations· 22 references
Medicine
TL;DR
When evaluated using real-world rhinologic cases integrating clinical, endoscopic, and written CT reports findings, a large language model demonstrated strong diagnostic agreement for CRSwNP and consistently reliable management recommendations, however, further validation is required before routine clinical implementation.
This study aimed to compare the diagnostic accuracy of multimodal Large Language Models (LLMS), namely, ChatGPT-5, ChatGPT-4o, and Gemini Pro 2.5, with board-certified oral medicine specialists. In this retrospective diagnostic accuracy study, 300 histopathologically confirmed salivary gland disease cases served as the...
Fatma E. A. Hassanein, Yousra Ahmed, Asmaa Abou-Bakr et al.· The Egyptian Journal of Otol...· 0 citations
While both models show potential as clinical decision-support tools, Gemini 3.0 exhibited superior diagnostic performance in real-world otologic cases in the first study evaluating LLMs using real-world otologic data.
Bilge Tuna, Gokhan Tuzemen, Hasan Mutlu· BMC Medical Informatics and...· 0 citations
The addition of clinical information was associated with a numeric trend toward higher diagnostic accuracy overall, but this trend was heterogeneous across models and disease types, and no statistically significant improvement was demonstrated after adjustment for multiple comparisons.
Jin-Qi Zhang, Xiao-Yi Wang, Yanfeng Zhao et al.· Journal of Medical Internet...· 0 citations
Background/Objectives: Breast cancer management relies on multidisciplinary team (MDT) decisions that integrate clinical, radiological, pathological, and patient-related factors. Large language models (LLMs) may support such decisions, but evidence based on real-world cases remains limited. Methods: We evaluated the ag...
G. Dindelegan, Noé Yoshi François Poupel, George Ionuț Golea et al.· Journal of Clinical Medicine· 0 citations
Interdisciplinary clinical boards (ICB) on chronic inflammatory diseases discuss complicated and multidisciplinary cases with inflammatory conditions among experts in their discipline. Medically specialized large language models (LLMs) are finding increasingly widespread use among physicians to answer clinical question...
M. Ronicke, L. Sollfrank, Ioannis Sagonas et al.· Scientific Reports· 0 citations
LLMs have high diagnostic accuracy when challenged with published nephrological case scenarios, and the interpretation is limited, however, because previous exposure of the models to individual vignettes, or parts thereof, cannot be ruled out.
Chalid Hasan, Göran R. Boeckel, S. Siam et al.· Deutsches Ärzteblatt Interna...· 0 citations
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