机器学习在头颈部癌症患者语音和吞咽评估中的应用。

IF 1.9 4区 医学 Q2 OTORHINOLARYNGOLOGY
Yashes Srinivasan, Amy Liu, Anaïs Rameau
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引用次数: 0

摘要

综述的目的:本综述旨在介绍应用于头颈癌语言、语音和吞咽评估的机器学习的最新进展和局限性:最近的发现:新开发的机器学习模型结合了多种数据模式,具有更强的判别能力,可用于预测头颈部癌症治疗后的毒性反应,包括吞咽困难、发音障碍、口腔异物感和体重减轻,以及指导治疗计划。机器学习已被应用于治疗后嗓音和吞咽功能障碍的护理,提供客观、标准化的评估,并辅助创新技术进行功能恢复。摘要:机器学习有可能帮助优化、评估、预测和恢复头颈部癌症患者的嗓音和吞咽功能,并有助于癌症筛查。然而,现有的研究由于缺乏足够的外部验证和可推广性、透明度和可重复性不足以及没有明确的卓越预测建模策略而受到限制。算法和应用需要在大型多机构数据集上进行训练,纳入社会人口学数据以减少偏差,并通过临床试验进行验证,以获得最佳性能和效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine learning in the evaluation of voice and swallowing in the head and neck cancer patient.

Purpose of review: The purpose of this review is to present recent advances and limitations in machine learning applied to the evaluation of speech, voice, and swallowing in head and neck cancer.

Recent findings: Novel machine learning models incorporating diverse data modalities with improved discriminatory capabilities have been developed for predicting toxicities following head and neck cancer therapy, including dysphagia, dysphonia, xerostomia, and weight loss as well as guiding treatment planning. Machine learning has been applied to the care of posttreatment voice and swallowing dysfunction by offering objective and standardized assessments and aiding innovative technologies for functional restoration. Voice and speech are also being utilized in machine learning algorithms to screen laryngeal cancer.

Summary: Machine learning has the potential to help optimize, assess, predict, and rehabilitate voice and swallowing function in head and neck cancer patients as well as aid in cancer screening. However, existing studies are limited by the lack of sufficient external validation and generalizability, insufficient transparency and reproducibility, and no clear superior predictive modeling strategies. Algorithms and applications will need to be trained on large multiinstitutional data sets, incorporate sociodemographic data to reduce bias, and achieve validation through clinical trials for optimal performance and utility.

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来源期刊
CiteScore
2.90
自引率
0.00%
发文量
96
审稿时长
6-12 weeks
期刊介绍: Current Opinion in Otolaryngology & Head and Neck Surgery is a bimonthly publication offering a unique and wide ranging perspective on the key developments in the field. Each issue features hand-picked review articles from our team of expert editors. With eleven disciplines published across the year – including maxillofacial surgery, head and neck oncology and speech therapy and rehabilitation – every issue also contains annotated references detailing the merits of the most important papers.
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