Rushil Rajiv Dang, Balram Kadaikal, Sam El Abbadi, Branden R Brar, Amit Sethi, Radhika Chigurupati
{"title":"人工智能在口腔颌面外科中的应用现状综述。","authors":"Rushil Rajiv Dang, Balram Kadaikal, Sam El Abbadi, Branden R Brar, Amit Sethi, Radhika Chigurupati","doi":"10.1007/s10006-025-01334-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":47251,"journal":{"name":"Oral and Maxillofacial Surgery-Heidelberg","volume":"29 1","pages":"37"},"PeriodicalIF":1.8000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The current landscape of artificial intelligence in oral and maxillofacial surgery- a narrative review.\",\"authors\":\"Rushil Rajiv Dang, Balram Kadaikal, Sam El Abbadi, Branden R Brar, Amit Sethi, Radhika Chigurupati\",\"doi\":\"10.1007/s10006-025-01334-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":47251,\"journal\":{\"name\":\"Oral and Maxillofacial Surgery-Heidelberg\",\"volume\":\"29 1\",\"pages\":\"37\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oral and Maxillofacial Surgery-Heidelberg\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10006-025-01334-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oral and Maxillofacial Surgery-Heidelberg","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10006-025-01334-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
The current landscape of artificial intelligence in oral and maxillofacial surgery- a narrative review.
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.
期刊介绍：
Oral & Maxillofacial Surgery founded as Mund-, Kiefer- und Gesichtschirurgie is a peer-reviewed online journal. It is designed for clinicians as well as researchers.The quarterly journal offers comprehensive coverage of new techniques, important developments and innovative ideas in oral and maxillofacial surgery and interdisciplinary aspects of cranial, facial and oral diseases and their management. The journal publishes papers of the highest scientific merit and widest possible scope on work in oral and maxillofacial surgery as well as supporting specialties. Practice-oriented articles help improve the methods used in oral and maxillofacial surgery.Every aspect of oral and maxillofacial surgery is fully covered through a range of invited review articles, clinical and research articles, technical notes, abstracts, and case reports. Specific topics are: aesthetic facial surgery, clinical pathology, computer-assisted surgery, congenital and craniofacial deformities, dentoalveolar surgery, head and neck oncology, implant dentistry, oral medicine, orthognathic surgery, reconstructive surgery, skull base surgery, TMJ and trauma.Time-limited reviewing and electronic processing allow to publish articles as fast as possible. Accepted articles are rapidly accessible online.Clinical studies submitted for publication have to include a declaration that they have been approved by an ethical committee according to the World Medical Association Declaration of Helsinki 1964 (last amendment during the 52nd World Medical Association General Assembly, Edinburgh, Scotland, October 2000). Experimental animal studies have to be carried out according to the principles of laboratory animal care (NIH publication No 86-23, revised 1985).
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