AIMC Topic: Surgery, Oral

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Quantifying the speed-accuracy trade-off of large language models on oral and maxillofacial surgery multiple-choice questions.

Scientific reports
Large language models (LLMs) such as GPT-4o, Copilot and Gemini are entering dental curricula, yet their suitability for real-time decision support remains unclear because most evaluations report accuracy alone. This prospective in silico diagnostic-...

Comparative study of technical and patient-related question answering quality of DeepSeek-R1 and ChatGPT-4o in the field of oral and maxillofacial surgery.

Oral and maxillofacial surgery
BACKGROUND: Artificial Intelligence (AI) technologies demonstrate potential as supplementary tools in healthcare, particularly in surgery, where they assist with preoperative planning, intraoperative decisions, and postoperative monitoring. In oral a...

Assessing ChatGPT's suitability in responding to the public's inquires on the effects of smoking on oral health.

BMC oral health
BACKGROUND: With the growing use of Artificial Intelligence (AI) in healthcare, language models like ChatGPT are increasingly being used to provide health information. Given smoking's significant impact on oral health, including periodontal disease, ...

Machine learning in dentistry and oral surgery: charting the course with bibliometric insights.

Head & face medicine
BACKGROUND: We aimed to comprehensively analyze the application of machine learning (ML) in dentistry and oral surgery using bibliometric methods to identify research trends, hotspots, and future directions.

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.

3D face reconstruction for maxillofacial surgery based on morphable models and neural networks: A preliminary assessment for anthropometry accuracy.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
OBJECTIVES: This study aimed to evaluate the anthropometric accuracy of 3D face reconstruction based on neural networks (3DFRBN) using 2D images, including the assessment of global errors and landmarks, as well as linear and angular measurements.

The current landscape of artificial intelligence in oral and maxillofacial surgery- a narrative review.

Oral and maxillofacial surgery
OBJECTIVE: This narrative review aims to explore the current applications and future prospects of AI within the subfields of oral and maxillofacial surgery (OMS), emphasizing its potential benefits and anticipated challenges.

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.

ScholarGPT's performance in oral and maxillofacial surgery.

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVE: The purpose of this study is to evaluate the performance of Scholar GPT in answering technical questions in the field of oral and maxillofacial surgery and to conduct a comparative analysis with the results of a previous study that assesse...