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| http://dx.doi.org/10.2196/54283 | DOI Listing |
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Evaluating text and visual diagnostic capabilities of large language models on questions related to the Breast Imaging Reporting and Data System Atlas 5 edition.
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Ankara Yıldırım Beyazıt University Faculty of Medicine, Department of Radiology, Ankara, Türkiye.
Purpose: This study aimed to evaluate the performance of large language models (LLMs) and multimodal LLMs in interpreting the Breast Imaging Reporting and Data System (BI-RADS) categories and providing clinical management recommendations for breast radiology in text-based and visual questions.
Methods: This cross-sectional observational study involved two steps. In the first step, we compared ten LLMs (namely ChatGPT 4o, ChatGPT 4, ChatGPT 3.
A retrospective evaluation of the potential of ChatGPT in the accurate diagnosis of acute stroke.
Diagn Interv Radiol
September 2024
Sancaktepe Şehit Prof. Dr. İlhan Varank Training and Research Hospital, Clinic of Radiology, İstanbul, Türkiye.
Purpose: Stroke is a neurological emergency requiring rapid, accurate diagnosis to prevent severe consequences. Early diagnosis is crucial for reducing morbidity and mortality. Artificial intelligence (AI) diagnosis support tools, such as Chat Generative Pre-trained Transformer (ChatGPT), offer rapid diagnostic advantages.
View Article and Find Full Text PDFEvaluating GPT-4V's performance in the Japanese national dental examination: A challenge explored.
J Dent Sci
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Division of Clinical Education Development and Research, Department of Oral Function, Kyushu Dental University, Kitakyushu, Japan.
Background/purpose: Rapid advancements in AI technology have led to significant interest in its application across various fields, including medicine and dentistry. This study aimed to assess the capabilities of ChatGPT-4V with image recognition in answering image-based questions from the Japanese National Dental Examination (JNDE) to explore its potential as an educational support tool for dental students.
Materials And Methods: The dataset used questions from the JNDE, which was conducted in January 2023, with a focus on image-related queries.
Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment.
Jpn J Radiol
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Department of Diagnostic and Interventional Radiology, Tuebingen University Hospital, Hoppe-Seyler-Straße 3, 72076, Tuebingen, Germany.
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Materials And Methods: In this retrospective study, 60 CT scans from The Cancer Imaging Archive, covering COVID-19, NSCLC, and control cases were analyzed using ChatGPT-4V. A radiologist selected four CT slices from each scan for evaluation.
The Performance of ChatGPT-4V in Interpreting Images and Tables in the Japanese Medical Licensing Exam.
JMIR Med Educ
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General Medicine Center, Shimane University Hospital, Izumo, Japan.
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