Devesh U Kapoor, Pushpendra Kumar Saini, Narendra Sharma, Ankul Singh, Bhupendra G Prajapati, Gehan M Elossaily, Summya Rashid
{"title":"人工智能照亮口腔癌治疗之路：变革性见解、精准诊断和个性化策略。","authors":"Devesh U Kapoor, Pushpendra Kumar Saini, Narendra Sharma, Ankul Singh, Bhupendra G Prajapati, Gehan M Elossaily, Summya Rashid","doi":"10.17179/excli2024-7253","DOIUrl":null,"url":null,"abstract":"<p><p>Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits noteworthy potential in escalating diagnostic and treatment procedures, offering promising advancements in healthcare. This review entails the traditional imaging techniques for the oral cancer treatment. The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. The customizing treatment approaches for oral cancer through artificial intelligence based personalized medicine is also part of this review. See also the graphical abstract(Fig. 1).</p>","PeriodicalId":12247,"journal":{"name":"EXCLI Journal","volume":"23 ","pages":"1091-1116"},"PeriodicalIF":3.8000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11464865/pdf/","citationCount":"0","resultStr":"{\"title\":\"AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies.\",\"authors\":\"Devesh U Kapoor, Pushpendra Kumar Saini, Narendra Sharma, Ankul Singh, Bhupendra G Prajapati, Gehan M Elossaily, Summya Rashid\",\"doi\":\"10.17179/excli2024-7253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits noteworthy potential in escalating diagnostic and treatment procedures, offering promising advancements in healthcare. This review entails the traditional imaging techniques for the oral cancer treatment. The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. The customizing treatment approaches for oral cancer through artificial intelligence based personalized medicine is also part of this review. See also the graphical abstract(Fig. 1).</p>\",\"PeriodicalId\":12247,\"journal\":{\"name\":\"EXCLI Journal\",\"volume\":\"23 \",\"pages\":\"1091-1116\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11464865/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EXCLI Journal\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.17179/excli2024-7253\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EXCLI Journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.17179/excli2024-7253","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies.
Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits noteworthy potential in escalating diagnostic and treatment procedures, offering promising advancements in healthcare. This review entails the traditional imaging techniques for the oral cancer treatment. The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. The customizing treatment approaches for oral cancer through artificial intelligence based personalized medicine is also part of this review. See also the graphical abstract(Fig. 1).
期刊介绍：
EXCLI Journal publishes original research reports, authoritative reviews and case reports of experimental and clinical sciences.
The journal is particularly keen to keep a broad view of science and technology, and therefore welcomes papers which bridge disciplines and may not suit the narrow specialism of other journals. Although the general emphasis is on biological sciences, studies from the following fields are explicitly encouraged (alphabetical order):
aging research, behavioral sciences, biochemistry, cell biology, chemistry including analytical chemistry, clinical and preclinical studies, drug development, environmental health, ergonomics, forensic medicine, genetics, hepatology and gastroenterology, immunology, neurosciences, occupational medicine, oncology and cancer research, pharmacology, proteomics, psychiatric research, psychology, systems biology, toxicology
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
