• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Artificial Intelligence and Machine Learning Algorithms-Powered SERS Techniques for Early Theragnosis of Oral Squamous Cell Carcinoma.

作者信息

Packirisamy Vinitha

机构信息

Centre for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu 602 105 India.

出版信息

J Maxillofac Oral Surg. 2025 Feb;24(1):255-257. doi: 10.1007/s12663-024-02396-x. Epub 2024 Nov 23.

DOI:10.1007/s12663-024-02396-x
PMID:39902455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11787129/
Abstract
摘要

相似文献

1
Artificial Intelligence and Machine Learning Algorithms-Powered SERS Techniques for Early Theragnosis of Oral Squamous Cell Carcinoma.用于口腔鳞状细胞癌早期治疗诊断的人工智能和机器学习算法驱动的表面增强拉曼光谱技术
J Maxillofac Oral Surg. 2025 Feb;24(1):255-257. doi: 10.1007/s12663-024-02396-x. Epub 2024 Nov 23.
2
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.机器学习在口腔鳞状细胞癌中的应用:现状、临床关注点及未来展望——系统综述。
Artif Intell Med. 2021 May;115:102060. doi: 10.1016/j.artmed.2021.102060. Epub 2021 Mar 26.
3
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review.人工智能和机器学习算法在社区和初级保健环境中早期检测皮肤癌的系统评价。
Lancet Digit Health. 2022 Jun;4(6):e466-e476. doi: 10.1016/S2589-7500(22)00023-1.
4
Machine learning-enhanced SERS diagnostics: Accelerating the AI-powered transition from laboratory discoveries to clinical practice.机器学习增强的表面增强拉曼光谱诊断:加速从实验室发现到临床实践的人工智能驱动转型。
Comput Biol Med. 2025 Aug;194:110490. doi: 10.1016/j.compbiomed.2025.110490. Epub 2025 Jun 2.
5
The diagnostic value of artificial intelligence in oral squamous cell carcinoma: A systematic review and meta-analysis.人工智能在口腔鳞状细胞癌中的诊断价值:一项系统评价与荟萃分析。
J Stomatol Oral Maxillofac Surg. 2025 Jun 13:102429. doi: 10.1016/j.jormas.2025.102429.
6
Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review.应用机器学习预测口腔癌结局的模型:系统评价。
Int J Med Inform. 2021 Oct;154:104557. doi: 10.1016/j.ijmedinf.2021.104557. Epub 2021 Aug 18.
7
Risk Prediction of Diabetic Foot Amputation Using Machine Learning and Explainable Artificial Intelligence.使用机器学习和可解释人工智能对糖尿病足截肢进行风险预测
J Diabetes Sci Technol. 2024 Jan 30:19322968241228606. doi: 10.1177/19322968241228606.
8
Integrating Genetic Insights and Artificial Intelligence for Enhanced Oral and Maxillofacial Cancer Care.整合基因见解与人工智能以加强口腔颌面癌护理。
Methods Mol Biol. 2025;2952:107-124. doi: 10.1007/978-1-0716-4690-8_7.
9
Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review.预防败血症;人工智能如何为临床决策过程提供信息?系统评价。
Int J Med Inform. 2021 Jun;150:104457. doi: 10.1016/j.ijmedinf.2021.104457. Epub 2021 Apr 10.
10
Assessment of PD-L1 expression and tumour infiltrating lymphocytes in early-stage non-small cell lung carcinoma with artificial intelligence algorithms.使用人工智能算法评估早期非小细胞肺癌中的PD-L1表达和肿瘤浸润淋巴细胞
J Clin Pathol. 2025 Jun 19;78(7):456-464. doi: 10.1136/jcp-2024-209766.

本文引用的文献

1
Reply to: comment on "Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning".回复:关于“利用机器学习的血清生物分子指纹光谱法进行早期癌症检测”的评论
Light Sci Appl. 2025 Jan 20;14(1):54. doi: 10.1038/s41377-024-01664-2.
2
Surface-functionalized SERS platform for deep learning-assisted diagnosis of Alzheimer's disease.基于表面功能化 SERS 平台的深度学习辅助阿尔茨海默病诊断。
Biosens Bioelectron. 2024 May 1;251:116128. doi: 10.1016/j.bios.2024.116128. Epub 2024 Feb 12.
3
Early Detection of Oral Potentially Malignant Disorders: A Review on Prospective Screening Methods with Regard to Global Challenges.口腔潜在恶性疾病的早期检测:关于全球挑战下前瞻性筛查方法的综述
J Maxillofac Oral Surg. 2024 Feb;23(1):23-32. doi: 10.1007/s12663-022-01710-9. Epub 2022 Apr 15.
4
Relevance of micro-RNAs and their targets as a diagnostic and prognostic marker in oral squamous cell carcinoma.微小RNA及其靶标作为口腔鳞状细胞癌诊断和预后标志物的相关性。
J Oral Maxillofac Pathol. 2023 Apr-Jun;27(2):364-373. doi: 10.4103/jomfp.jomfp_349_22. Epub 2023 Jul 13.
5
Developing New Diagnostic Tools Based on SERS Analysis of Filtered Salivary Samples for Oral Cancer Detection.基于滤过唾液样本的 SERS 分析开发用于口腔癌检测的新型诊断工具。
Int J Mol Sci. 2023 Jul 28;24(15):12125. doi: 10.3390/ijms241512125.
6
Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review.口腔鳞状细胞癌图像分析中的人工智能:综述
Diagnostics (Basel). 2023 Jul 20;13(14):2416. doi: 10.3390/diagnostics13142416.
7
A New Detection Method of Oral and Oropharyngeal Squamous Cell Carcinoma Based on Multivariate Analysis of Surface Enhanced Raman Spectra of Salivary Exosomes.基于唾液外泌体表面增强拉曼光谱多变量分析的口腔和口咽鳞状细胞癌新检测方法
J Pers Med. 2023 Apr 28;13(5):762. doi: 10.3390/jpm13050762.
8
Oral Microflora and Its Potential Carcinogenic Effect on Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.口腔微生物群及其对口腔鳞状细胞癌的潜在致癌作用:一项系统评价和荟萃分析
Cureus. 2023 Jan 9;15(1):e33560. doi: 10.7759/cureus.33560. eCollection 2023 Jan.
9
Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics.机器学习增强的表面增强光谱技术助力下一代分子诊断
Nanoscale Adv. 2022 Nov 7;5(3):538-570. doi: 10.1039/d2na00608a. eCollection 2023 Jan 31.
10
Immunology of Oral Squamous Cell Carcinoma-A Comprehensive Insight with Recent Concepts.口腔鳞状细胞癌的免疫学——基于最新概念的全面洞察
Life (Basel). 2022 Nov 7;12(11):1807. doi: 10.3390/life12111807.