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人工智能算法在头颈部癌淋巴结受累的预后和检测中的应用以及对个性化治疗策略发展的可能影响:一项系统综述

The Use of Artificial Intelligence Algorithms in the Prognosis and Detection of Lymph Node Involvement in Head and Neck Cancer and Possible Impact in the Development of Personalized Therapeutic Strategy: A Systematic Review.

作者信息

Michelutti Luca, Tel Alessandro, Zeppieri Marco, Ius Tamara, Sembronio Salvatore, Robiony Massimo

机构信息

Clinic of Maxillofacial Surgery, Head-Neck and NeuroScience Department, University Hospital of Udine, p.le S. Maria della Misericordia 15, 33100 Udine, Italy.

Department of Ophthalmology, University Hospital of Udine, Piazzale S. Maria della Misericordia 15, 33100 Udine, Italy.

出版信息

J Pers Med. 2023 Nov 21;13(12):1626. doi: 10.3390/jpm13121626.

Abstract

Given the increasingly important role that the use of artificial intelligence algorithms is taking on in the medical field today (especially in oncology), the purpose of this systematic review is to analyze the main reports on such algorithms applied for the prognostic evaluation of patients with head and neck malignancies. The objective of this paper is to examine the currently available literature in the field of artificial intelligence applied to head and neck oncology, particularly in the prognostic evaluation of the patient with this kind of tumor, by means of a systematic review. The paper exposes an overview of the applications of artificial intelligence in deriving prognostic information related to the prediction of survival and recurrence and how these data may have a potential impact on the choice of therapeutic strategy, making it increasingly personalized. This systematic review was written following the PRISMA 2020 guidelines.

摘要

鉴于如今人工智能算法在医学领域(尤其是肿瘤学领域)正发挥着越来越重要的作用,本系统评价的目的是分析关于此类算法应用于头颈部恶性肿瘤患者预后评估的主要报告。本文的目的是通过系统评价来审视人工智能应用于头颈部肿瘤学领域的现有文献,特别是针对这类肿瘤患者的预后评估。本文概述了人工智能在获取与生存和复发预测相关的预后信息方面的应用,以及这些数据如何可能对治疗策略的选择产生潜在影响,使其越来越个性化。本系统评价是按照PRISMA 2020指南撰写的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dab/10745006/5367e7f8516f/jpm-13-01626-g001.jpg

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