{"title":"Artificial Intelligence in Facial Feminization Surgery: From Automated Analysis to Patient-Centered Virtual Surgical Planning.","authors":"Michel Beyer, Florian Markus Thieringer","doi":"10.1016/j.coms.2026.09.004","DOIUrl":"https://doi.org/10.1016/j.coms.2026.09.004","url":null,"abstract":"<p><p>Facial feminization surgery is central to gender-affirming craniofacial care, combining skeletal and soft tissue procedures that align facial appearance with gender identity and improve psychosocial well-being. Because the forehead, supraorbital rims, orbits, zygoma, nose, mandible, and chin strongly shape gender perception, careful planning is essential. Virtual surgical planning enables 3-dimensional analysis, simulation, patient communication, and safe transfer of the plan to the operating room. Artificial intelligence may automate segmentation, measurement, and parts of planning, while classifiers, morphing, and predictive shape models can help individualize feminization goals, constrained by surgical safety, patient autonomy, soft-tissue uncertainty, and surgeon judgment.</p>","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149197848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence and Facial Analysis/Facial Nerve/Facial Palsy.","authors":"Takeaki Hidaka","doi":"10.1016/j.coms.2026.09.005","DOIUrl":"https://doi.org/10.1016/j.coms.2026.09.005","url":null,"abstract":"<p><p>Artificial intelligence (AI)-based facial analysis enables objective and quantitative evaluation of facial morphology. Recent advances in computer vision allow automated detection of facial landmarks and reproducible measurement of facial symmetry, movement, and emotional expression. Several AI systems, including Emotrics, MediaPipe Face Mesh, Real-Time Facial Asymmetry Analysis, FaceReader, and Affdex, have been applied to outcome assessment after facial reanimation procedures and facial nerve reconstruction. Similar computational approaches can also be applied to evaluate structural facial deformities, such as those observed after mandibular reconstruction. By reducing subjective bias and improving reproducibility, AI-based facial analysis may support more evidence-based evaluation of reconstructive surgical outcomes.</p>","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149186029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blepharoplasty in the Artificial Intelligence Era.","authors":"Makoto Shiraishi, Mutsumi Okazaki","doi":"10.1016/j.coms.2026.09.006","DOIUrl":"https://doi.org/10.1016/j.coms.2026.09.006","url":null,"abstract":"<p><p>Blepharoplasty and related periorbital procedures sit at the interface of functional reconstruction, esthetic surgery, ophthalmology, facial plastic surgery, and oral and maxillofacial surgery. Because eyelid and periorbital changes can be captured in photographs, videos, and 3-dimensional imaging, artificial intelligence has growing relevance for objective measurement, screening, planning, outcome assessment, and patient education. Current evidence is promising but heterogeneous. Image-based computer vision and deep learning appear closest to clinical use, whereas large language and generative image models require careful oversight. This review summarizes practical applications and proposes a cautious implementation pathway.</p>","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149186027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence in Maxillofacial Trauma.","authors":"Kritsasith Warin","doi":"10.1016/j.coms.2026.09.009","DOIUrl":"https://doi.org/10.1016/j.coms.2026.09.009","url":null,"abstract":"<p><p>Maxillofacial trauma presents significant diagnostic challenges due to the highly complex bony anatomy of the facial skeleton. The misdiagnosis or delayed detection of these fractures can lead to severe complications affecting a patient's vision and also their facial and masticatory functions. This review explores the integration of artificial intelligence (AI) into clinical workflows for the diagnosis, triage, and decision-making regarding the management of maxillofacial fractures. Serving as an indispensable third eye, AI not only reduces dangerous diagnostic errors and accelerates emergency decision-making but its detailed spatial outputs also synergize seamlessly with virtual surgical planning to facilitate highly optimized, patient-specific reconstructions.</p>","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149186051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence and Oral Potentially Malignant Disorders: Predicting Malignant Transformation and Recurrence.","authors":"John Adeoye, Yu-Xiong Su","doi":"10.1016/j.coms.2026.09.001","DOIUrl":"https://doi.org/10.1016/j.coms.2026.09.001","url":null,"abstract":"<p><p>Oral potentially malignant disorders (OPMDs) are heterogeneous conditions with a significantly increased risk of developing oral squamous cell carcinoma. Traditional risk assessment methods are often subjective, largely unidimensional, and insufficient for individualized prediction of malignant transformation, treatment response, or disease recurrence. Artificial intelligence (AI) models developed with diverse patient data may improve OPMD risk assessment and provide more individualized decision support to clinicians. As such, this review discusses AI's role, available models, current evidence, and implementation challenges to applying this technology for OPMD risk assessment and management.</p>","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149148085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Barriers to Clinical Integration of Artificial Intelligence in Computer-Assisted Dental Implant Surgery: A Critical Review.","authors":"Jinyan Chen, Feng Wang","doi":"10.1016/j.coms.2026.09.008","DOIUrl":"https://doi.org/10.1016/j.coms.2026.09.008","url":null,"abstract":"<p><p>Translating artificial intelligence (AI) from virtual implant planning to dental implant surgical execution is obstructed by technical, clinical, and socioethical barriers. This critical review appraises these impediments, focusing on tomographic data heterogeneity, closed hardware ecosystems that block kinematic data extraction, and algorithmic opacity that erodes clinician trust. Current literature over-relies on static retrospective validations with high bias risk. This gap should be bridged by a roadmap prioritizing federated learning, open-source interoperability, explainable AI, and prospective multicenter trials to establish algorithms as dynamically adaptive surgical systems.</p>","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149148776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence for Diagnostic Decision-Making in Oral and Maxillofacial Surgery.","authors":"Shintaro Sukegawa, Takeshi Hara, Keisuke Nakano, Minoru Miyake","doi":"10.1016/j.coms.2026.09.002","DOIUrl":"https://doi.org/10.1016/j.coms.2026.09.002","url":null,"abstract":"<p><p>Artificial intelligence (AI) is increasingly being applied in oral and maxillofacial surgery; however, its primary clinical value lies in supporting decision-making rather than replacing clinicians. Surgeons must integrate diverse sources of information, including imaging, pathology, and systemic conditions, which can increase cognitive workload and contribute to diagnostic variability. This review summarizes the current role of AI-based clinical decision support by organizing its applications into 3 cognitive stages: detection, diagnostic interpretation, and risk prediction. AI systems can assist in identifying abnormalities, suggesting differential diagnoses, and estimating the probability of postoperative complications or disease progression.</p>","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149139070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Copyright","authors":"","doi":"10.1016/S1042-3699(26)00024-5","DOIUrl":"10.1016/S1042-3699(26)00024-5","url":null,"abstract":"","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":"38 2","pages":"Page ii"},"PeriodicalIF":1.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147923829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Septorhinoplasty for the Cleft Lip Nasal Deformity at Maturity","authors":"Raymond Tse MD , Hyok Jun Kwon MD","doi":"10.1016/j.coms.2026.02.010","DOIUrl":"10.1016/j.coms.2026.02.010","url":null,"abstract":"","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":"38 2","pages":"Pages 301-316"},"PeriodicalIF":1.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147516294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dale J. Podolsky MD, PhD, FRCSC, FACS , Karen W.Y. Wong Riff MD, PhD, FRCSC , David M. Fisher FRCSC, FACS
{"title":"Complex Facial Clefts","authors":"Dale J. Podolsky MD, PhD, FRCSC, FACS , Karen W.Y. Wong Riff MD, PhD, FRCSC , David M. Fisher FRCSC, FACS","doi":"10.1016/j.coms.2026.02.011","DOIUrl":"10.1016/j.coms.2026.02.011","url":null,"abstract":"","PeriodicalId":53153,"journal":{"name":"Oral and Maxillofacial Surgery Clinics of North America","volume":"38 2","pages":"Pages 317-327"},"PeriodicalIF":1.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147516271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}