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人工智能照亮口腔癌治疗之路：变革性见解、诊断精准度与个性化策略。

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

作者信息

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

机构信息

Dr. Dayaram Patel Pharmacy College, Bardoli-394601, Gujarat, India.

Department of Pharmaceutics, Sri Balaji College of Pharmacy, Jaipur, Rajasthan-302013, India.

出版信息

EXCLI J. 2024 Sep 3;23:1091-1116. doi: 10.17179/excli2024-7253. eCollection 2024.

DOI:10.17179/excli2024-7253
PMID:39391057
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11464865/
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).

摘要

尽管近期治疗取得进展，但口腔癌仍是全球生存率最低的癌症之一，这对医疗保健构成了严峻挑战。人工智能在提升诊断和治疗程序方面具有显著潜力，为医疗保健带来了有前景的进展。本综述涉及口腔癌治疗的传统成像技术。本综述还着重讨论了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。该综述还涵盖了人工智能的应用，如自动图像分析、计算机辅助检测以及用于口腔癌诊断和治疗的机器学习算法的整合。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。另见图1的图形摘要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/1113ad8a98ee/EXCLI-23-1091-g-005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/ed953e479229/EXCLI-23-1091-t-001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/95eebda4d2cc/EXCLI-23-1091-g-001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/4a842f790361/EXCLI-23-1091-g-002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/a948fc25cd19/EXCLI-23-1091-g-003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/1a0690e9b6ec/EXCLI-23-1091-g-004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/1113ad8a98ee/EXCLI-23-1091-g-005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/ed953e479229/EXCLI-23-1091-t-001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/95eebda4d2cc/EXCLI-23-1091-g-001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/4a842f790361/EXCLI-23-1091-g-002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/a948fc25cd19/EXCLI-23-1091-g-003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/1a0690e9b6ec/EXCLI-23-1091-g-004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c52/11464865/1113ad8a98ee/EXCLI-23-1091-g-005.jpg

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引用本文的文献

[1]
Differentiation of benign and malignant oral lesions through surface texture analysis and SVM modeling.

Clin Oral Investig. 2025-9-2

[2]
Advanced drug delivery systems for oral squamous cell carcinoma: a comprehensive review of nanotechnology-based and other innovative approaches.

Front Drug Deliv. 2025-6-27

[3]
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis.

Front Oncol. 2025-4-14

本文引用的文献

[1]
Automated evaluation of masseter muscle volume: deep learning prognostic approach in oral cancer.

BMC Cancer. 2024-1-24

[2]
K-nearest-neighbor algorithm to predict the survival time and classification of various stages of oral cancer: a machine learning approach.

F1000Res. 2022

[3]
Predicting nodal metastases in squamous cell carcinoma of the oral tongue using artificial intelligence.

Am J Otolaryngol. 2024

[4]
Prognostic Significance of β-Catenin in Relation to the Tumor Immune Microenvironment in Oral Cancer.

Biomedicines. 2023-9-29

[5]
A Literature Review of the Future of Oral Medicine and Radiology, Oral Pathology, and Oral Surgery in the Hands of Technology.

Cureus. 2023-9-23

[6]
Artificial Intelligence's Use in the Diagnosis of Mouth Ulcers: A Systematic Review.

Cureus. 2023-9-13

[7]
Artificial intelligence-based diagnosis of the depth of laryngopharyngeal cancer.

Auris Nasus Larynx. 2024-4

[8]
Integrating Cutting-Edge Methods to Oral Cancer Screening, Analysis, and Prognosis.

Crit Rev Oncog. 2023

[9]
Prediction of postoperative recurrence of oral cancer by artificial intelligence model: Multilayer perceptron.

Head Neck. 2023-12

[10]
A paradigm shift in the prevention and diagnosis of oral squamous cell carcinoma.

J Oral Pathol Med. 2023-10

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