Ke-Ru Shen, Lei-Ming Cao, Zi-Zhan Li, Guang-Rui Wang, Yao Xiao, Han-Yue Luo, Bing Liu, Lei Xi, Lin-Lin Bu
{"title":"The Eye of Horus: Enhancing Head and Neck Cancer Care with Computer Vision.","authors":"Ke-Ru Shen, Lei-Ming Cao, Zi-Zhan Li, Guang-Rui Wang, Yao Xiao, Han-Yue Luo, Bing Liu, Lei Xi, Lin-Lin Bu","doi":"10.1111/odi.70013","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Head and neck cancer (HNC) poses formidable treatment challenges globally due to complex anatomy, image interpretation difficulties, and other obstacles, despite extensive research. Recent advancements in artificial intelligence (AI), particularly computer vision (CV), have demonstrated substantial potential in improving HNC management, yielding notable progress.</p><p><strong>Methods: </strong>We conducted a narrative review through massive literature research to explore the applications of CV in HNC and try to discuss its advantages as well as disadvantages through comparison.</p><p><strong>Results: </strong>We summarize the applications and cutting-edge advances of CV in prevention, diagnosis, treatment, and prognosis prediction in HNC, synthesize the concepts and workflow of CV and discuss the advantages and disadvantages of it. Additionally, we bridge the gap among healthcare professionals and AI researchers to promote the development of relevant fields jointly.</p><p><strong>Conclusions: </strong>CV holds great promise in HNC. We should continually deepen cooperation and exchanges among healthcare professionals and AI researchers, thereby fostering the continuous development of CV in the treatment of HNC. With the continuous optimization of algorithms, the application of CV in HNC will become even more extensive.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oral diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/odi.70013","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Head and neck cancer (HNC) poses formidable treatment challenges globally due to complex anatomy, image interpretation difficulties, and other obstacles, despite extensive research. Recent advancements in artificial intelligence (AI), particularly computer vision (CV), have demonstrated substantial potential in improving HNC management, yielding notable progress.
Methods: We conducted a narrative review through massive literature research to explore the applications of CV in HNC and try to discuss its advantages as well as disadvantages through comparison.
Results: We summarize the applications and cutting-edge advances of CV in prevention, diagnosis, treatment, and prognosis prediction in HNC, synthesize the concepts and workflow of CV and discuss the advantages and disadvantages of it. Additionally, we bridge the gap among healthcare professionals and AI researchers to promote the development of relevant fields jointly.
Conclusions: CV holds great promise in HNC. We should continually deepen cooperation and exchanges among healthcare professionals and AI researchers, thereby fostering the continuous development of CV in the treatment of HNC. With the continuous optimization of algorithms, the application of CV in HNC will become even more extensive.
期刊介绍:
Oral Diseases is a multidisciplinary and international journal with a focus on head and neck disorders, edited by leaders in the field, Professor Giovanni Lodi (Editor-in-Chief, Milan, Italy), Professor Stefano Petti (Deputy Editor, Rome, Italy) and Associate Professor Gulshan Sunavala-Dossabhoy (Deputy Editor, Shreveport, LA, USA). The journal is pre-eminent in oral medicine. Oral Diseases specifically strives to link often-isolated areas of dentistry and medicine through broad-based scholarship that includes well-designed and controlled clinical research, analytical epidemiology, and the translation of basic science in pre-clinical studies. The journal typically publishes articles relevant to many related medical specialties including especially dermatology, gastroenterology, hematology, immunology, infectious diseases, neuropsychiatry, oncology and otolaryngology. The essential requirement is that all submitted research is hypothesis-driven, with significant positive and negative results both welcomed. Equal publication emphasis is placed on etiology, pathogenesis, diagnosis, prevention and treatment.