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口腔颌面外科人工智能的现状——一篇叙述性综述

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

作者信息

Dang Rushil Rajiv, Kadaikal Balram, Abbadi Sam El, Brar Branden R, Sethi Amit, Chigurupati Radhika

机构信息

Department of Oral and Maxillofacial, Boston University and Boston Medical Center, 635 Albany Street, 02118, Boston, MA, USA.

Henry M. Goldman School of Dental Medicine, Boston University, Boston, MA, USA.

出版信息

Oral Maxillofac Surg. 2025 Jan 17;29(1):37. doi: 10.1007/s10006-025-01334-6.


DOI:10.1007/s10006-025-01334-6
PMID:39820789
Abstract

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. METHODS: A detailed review of the literature was conducted to evaluate the role of AI in oral and maxillofacial surgery. All domains within OMS were reviewed with a focus on diagnostic, therapeutic and prognostic interventions. RESULTS: AI has been successfully integrated into surgical specialties to enhance clinical outcomes. In OMS, AI demonstrates potential to improve clinical and administrative workflows in both ambulatory and hospital-based settings. Notable applications include more accurate risk prediction, minimally invasive surgical techniques, and optimized postoperative management. CONCLUSION: OMS stands to benefit enormously from the integration of AI. However, significant roadblocks, such as ethical concerns, data security, and integration challenges, must be addressed to ensure effective adoption. Further research and innovation are needed to fully realize the potential of AI in this specialty.

摘要

目的:本叙述性综述旨在探讨人工智能在口腔颌面外科(OMS)各子领域的当前应用和未来前景,强调其潜在益处和预期挑战。 方法:对文献进行详细综述,以评估人工智能在口腔颌面外科中的作用。对口腔颌面外科的所有领域进行了综述,重点关注诊断、治疗和预后干预措施。 结果:人工智能已成功融入外科专业,以改善临床结果。在口腔颌面外科中,人工智能显示出在门诊和医院环境中改善临床和管理工作流程的潜力。显著的应用包括更准确的风险预测、微创手术技术和优化的术后管理。 结论:口腔颌面外科将从人工智能的整合中受益匪浅。然而,必须解决重大障碍,如伦理问题、数据安全和整合挑战,以确保有效应用。需要进一步的研究和创新,以充分实现人工智能在该专业中的潜力。

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[1]
Customized GPT-4V(ision) for radiographic diagnosis: can large language model detect supernumerary teeth?

BMC Oral Health. 2025-5-21

本文引用的文献

[1]
Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis.

BMC Oral Health. 2024-1-23

[2]
Automatic segmentation of ameloblastoma on ct images using deep learning with limited data.

BMC Oral Health. 2024-1-9

[3]
A large language model's assessment of methodology reporting in head and neck surgery.

Am J Otolaryngol. 2024

[4]
Automatic diagnosis of true proximity between the mandibular canal and the third molar on panoramic radiographs using deep learning.

Sci Rep. 2023-12-12

[5]
President Biden's Executive Order on Artificial Intelligence-Implications for Health Care Organizations.

JAMA. 2024-1-2

[6]
The potential of ChatGPT in oral medicine: a new era of patient care?

Oral Surg Oral Med Oral Pathol Oral Radiol. 2024-1

[7]
Utilization of ChatGPT-4 in Plastic and Reconstructive Surgery: A Narrative Review.

Plast Reconstr Surg Glob Open. 2023-10-26

[8]
Using Generative Artificial Intelligence Tools in Cosmetic Surgery: A Study on Rhinoplasty, Facelifts, and Blepharoplasty Procedures.

J Clin Med. 2023-10-14

[9]
Deep learning and artificial intelligence in dental diagnostic imaging.

Jpn Dent Sci Rev. 2023-12

[10]
ChatGPT in head and neck scientific writing: A precautionary anecdote.

Am J Otolaryngol. 2023

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