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Purpose: The aim of this study was to compare the latest large language models (LLMs) ChatGPT-4o, Google Gemini 1.5 Pro and Microsoft Copilot Pro developed by three different companies, with each other and with a group of ophthalmologists, to reveal the strengths and weaknesses of LLMs against each other and against ophthalmologists in the field of uveitis and ocular inflammation.

Methods: Using a personal OphthoQuestions (www.

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Parkinson's disease (PD) is a neurodegenerative disorder primarily characterized by motor impairment, resulting from the accumulation of α-synuclein and neuronal cell death in the substantia nigra of the midbrain. Emerging evidence suggests that α-synuclein aggregation may originate in the enteric nervous system (ENS) and subsequently propagate to the brain via the vagus nerve. Clinical observations, such as prodromal gastrointestinal dysfunction in PD patients and the increased incidence of PD among individuals with inflammatory bowel disease, support the hypothesis that abnormal intestinal inflammation may contribute to the onset of motor dysfunction and neuropathology in PD.

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Introduction: Artificial intelligence (AI) is transforming various aspects of everyday life, including healthcare, through large language models (LLMs) like ChatGPT, Gemini, and Copilot. These systems are increasingly used to disseminate medical information, allowing patients to access simplified explanations. This study aims to compare responses to breast imaging-related questions formulated in Italian and English, based on Eusobi guidelines, evaluating the LLMs' ability to provide accurate and complete answers on mammography screening concepts.

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[Can large language models answer clinical questions?].

Recenti Prog Med

March 2025

Unità di Ricerca in sanità digitale e terapie digitali, Laboratorio di Metodologia della ricerca clinica, Dipartimento di Oncologia clinica, Istituto di Ricerche farmacologiche Mario Negri Irccs, Milano.

With the advancement of large language models (LLMs) such as ChatGPT, their application in medicine is growing, but it is crucial that the responses are aligned with international guidelines. Recent studies have shown that LLMs can be useful in the medical field, providing correct answers to questions about the management and treatment of specific diseases. However, the accuracy of these models must also include readability and thoroughness of the answers and consistency with guidelines.

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Background: This study investigates the performance of ChatGPT-3.5 and ChatGPT-4 in answering medical questions from Taiwan's Physician Licensing Exam, ranging from basic medical knowledge to specialized clinical topics. It aims to understand these artificial intelligence (AI) models' capabilities in a non-English context, specifically traditional Chinese.

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