AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies.

IF 3.8 3区生物学 Q1 BIOLOGY EXCLI Journal Pub Date : 2024-09-03 eCollection Date: 2024-01-01 DOI:10.17179/excli2024-7253

Devesh U Kapoor, Pushpendra Kumar Saini, Narendra Sharma, Ankul Singh, Bhupendra G Prajapati, Gehan M Elossaily, Summya Rashid

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Abstract

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).

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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。

口腔癌是全球存活率最低的癌症之一，尽管最近在治疗方面取得了进展，但这仍是医疗保健领域面临的一项严峻挑战。人工智能在升级诊断和治疗程序方面表现出了值得关注的潜力，为医疗保健领域带来了可喜的进步。本综述介绍了用于口腔癌治疗的传统成像技术。人工智能在口腔癌预后中的作用，包括预测建模、预后因素识别和风险分层，在本综述中也有重要讨论。综述还包括人工智能的利用，如自动图像分析、计算机辅助检测和诊断，以及将机器学习算法整合到口腔癌诊断和治疗中。通过基于人工智能的个性化医疗定制口腔癌治疗方法也是本综述的一部分。另请参见图表摘要（图 1）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

EXCLI Journal BIOLOGY-

CiteScore

8.00

自引率

2.20%

发文量

审稿时长

6-12 weeks

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