3 Dokumente gefunden

Harnessing advanced large language models in otolaryngology board examinations: an investigation using python and application…

Abstract Purpose This study aimed to explore the capabilities of advanced large language models (LLMs), including OpenAI’s GPT-4 variants, Google’s Gemini series, and Anthropic’s Claude series, in addressing highly specialized otolaryngology board examination questions. Additionally, the study included…
Berlin: Springer, 2025-06

ChatGPT’s Response Consistency: A Study on Repeated Queries of Medical Examination Questions

(1) Background: As the field of artificial intelligence (AI) evolves, tools like ChatGPT are increasingly integrated into various domains of medicine, including medical education and research. Given the critical nature of medicine, it is of paramount importance that AI tools offer a high degree of reliability…
Basel: MDPI AG, 2024-03-08

Early Outcomes and Risk Factors in Orthognathic Surgery for Mandibular and Maxillary Hypo- and Hyperplasia : A 13-Year Analysis…

Background: Orthognathic surgery (OS) is a frequently performed procedure for the correction of dentofacial deformities and malocclusion. Research on OS is mostly limited to single-surgeon experience or single-institutional reports. We, therefore, retrospectively analyzed a multi-institutional database…
Basel: MDPI, 2023-02-11