PURPOSE: The aim of this study was to evaluate the performance of GPT-4 in answering oral and maxillofacial surgery (OMFS) board exam questions, given its success in other medical specializations.
OBJECTIVES: This study aims to assess the overall performance of ChatGPT version 4-omni (GPT-4o) on the Turkish Orthopedics and Traumatology Board Examination (TOTBE) using actual examinees as a reference point to evaluate and compare the performance...
BACKGROUND: The GPT-4 is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in November 2022, the use of LLMs has seen a significant spike in interest, and a multitude of potential...
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Feb 11, 2025
INTRODUCTION: Artificial intelligence (AI) has gained significant attention in medicine, particularly in neurosurgery, where its potential is often discussed and occasionally feared. Large language models (LLMs), such as ChatGPT-4.0 (OpenAI) and Gemi...
INTRODUCTION: The European Board of Urology (EBU) In-Service Assessment (ISA) test evaluates urologists' knowledge and interpretation. Artificial Intelligence (AI) chatbots are being used widely by physicians for theoretical information. This researc...
RATIONALE AND OBJECTIVES: The expansion of large language models to process images offers new avenues for application in radiology. This study aims to assess the multimodal capabilities of contemporary large language models, which allow analysis of i...
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Nov 29, 2024
BACKGROUND: Previous studies evaluated the ability of large language models (LLMs) in medical disciplines; however, few have focused on image analysis, and none specifically on cardiovascular imaging or nuclear cardiology. This study assesses four LL...
Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
Nov 19, 2024
BACKGROUND: While artificial intelligence has significantly impacted medicine, the application of large language models (LLMs) in oral and maxillofacial surgery (OMS) remains underexplored.
RATIONALE AND OBJECTIVES: To evaluate the performance of various multimodal large language models (LLMs) in the Japanese Diagnostic Radiology Board Examinations (JDRBE) both with and without images.
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