AIMC Topic: Specialty Boards

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Performance of GPT-4 in oral and maxillofacial surgery board exams: challenges in specialized questions.

Oral and maxillofacial surgery
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.

Assessing the performance of ChatGPT-4o on the Turkish Orthopedics and Traumatology Board Examination.

Joint diseases and related surgery
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...

Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination.

JMIR medical education
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...

Performance evaluation of ChatGPT-4.0 and Gemini on image-based neurosurgery board practice questions: A comparative analysis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
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...

Which current chatbot is more competent in urological theoretical knowledge? A comparative analysis by the European board of urology in-service assessment.

World journal of urology
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...

Large Language Models with Vision on Diagnostic Radiology Board Exam Style Questions.

Academic radiology
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...

Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
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...

Evaluating Artificial Intelligence Chatbots in Oral and Maxillofacial Surgery Board Exams: Performance and Potential.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
BACKGROUND: While artificial intelligence has significantly impacted medicine, the application of large language models (LLMs) in oral and maxillofacial surgery (OMS) remains underexplored.

Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023).

Academic radiology
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.

Accuracy of large language models in answering ophthalmology board-style questions: A meta-analysis.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
PURPOSE: To evaluate the accuracy of large language models (LLMs) in answering ophthalmology board-style questions.