AIMC Topic: Surgery, Oral

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The most influential publications in oral and maxillofacial surgery over the past decade.

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVE: Reliable metrics are needed to measure the impact of academic publications in order to fully understand and evaluate the contributions of articles published in the field of oral and maxillofacial surgery(OMFS). The aim was to identify and ...

Empowering surgeons: will artificial intelligence change oral and maxillofacial surgery?

International journal of oral and maxillofacial surgery
Artificial Intelligence (AI) can enhance the precision and efficiency of diagnostics and treatments in oral and maxillofacial surgery (OMS), leveraging advanced computational technologies to mimic intelligent human behaviors. The study aimed to exami...

ChatGPT and trainee performances in the management of maxillofacial patients.

Journal of stomatology, oral and maxillofacial surgery
INTRODUCTION: ChatGPT is an artificial intelligence based large language model with the ability to generate human-like response to text input, its performance has already been the subject of several studies in different fields. The aim of this study ...

Neural shape completion for personalized Maxillofacial surgery.

Scientific reports
In this paper, we investigate the effectiveness of shape completion neural networks as clinical aids in maxillofacial surgery planning. We present a pipeline to apply shape completion networks to automatically reconstruct complete eumorphic 3D meshes...

Can ChatGPT-4o provide new systematic review ideas to oral and maxillofacial surgeons?

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVE: This study aims to evaluate the capacity of ChatGPT-4o to generate new systematic review ideas in the field of oral and maxillofacial surgery. The data obtained from this study will provide evidence-based information to oral and maxillofac...

Performance of large language models in oral and maxillofacial surgery examinations.

International journal of oral and maxillofacial surgery
This study aimed to determine the accuracy of large language models (LLMs) in answering oral and maxillofacial surgery (OMS) multiple choice questions. A total of 259 questions from the university's question bank were answered by the LLMs (GPT-3.5, G...

Evaluation of AI-generated responses by different artificial intelligence chatbots to the clinical decision-making case-based questions in oral and maxillofacial surgery.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVES: This study aims to evaluate the correctness of the generated answers by Google Bard, GPT-3.5, GPT-4, Claude-Instant, and Bing chatbots to decision-making clinical questions in the oral and maxillofacial surgery (OMFS) area.