[The critique of an artificial intelligence tool in the assessment of peripheral facial paralysis].

IF 0.4 4区医学 Q4 SURGERY

Annales De Chirurgie Plastique Esthetique Pub Date : 2024-11-26 DOI:10.1016/j.anplas.2024.11.002

H Kerleau, L Perrin, K Marcotte, S Martineau

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引用次数: 0

Abstract

Peripheral facial palsy (PFP) is an alteration in the functioning of some facial muscles following an injury to the facial nerve. This pathology has functional and aesthetic consequences that impact the quality of life of patients. Their care is essential and begins with an accurate assessment. Currently, scoring scales such as Sunnybrook Facial Grading System (SFGS) or House-Brackmann Grading System (HBGS) are used, based on clinician judgment. However, these evaluation methods can be subject to a certain degree of subjectivity. Recent advances in technology have led to increased interest in artificial intelligence (AI). AI could make it possible to develop an objective, automated and quantitative assessment tool, applicable in a clinical setting. This approach aims to reduce the subjectivity induced by current evaluation. We conducted a retrospective study of 38 patients with moderate-severe to total PFPs. The objective of the study is to identify the benefits and limitations of Emotrics+, a facial metrics tool based on AI, in order to determine whether the tool is applicable in the clinic. This protocol took place at two different time periods (14days and 1year post-PFP) using the SFGS scale and the Emotrics+ software. We evaluated the inter-rater and intra-rater reliability in order to determine the reliability and the reproducibility of the two tools. Then, we established a correlation between the two tools to determine if Emotrics+ followed SFGS's trend. Our currents results do not support the immediate applicability of this software. However, with appropriates adjustments, Emotrics+ has a certain potential.

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[人工智能工具在周围性面瘫评估中的批判]。

周围性面瘫（PFP）是指面神经受伤后，部分面部肌肉功能发生改变。这种病变会影响患者的功能和美观，从而影响他们的生活质量。对患者的护理至关重要，首先要进行准确的评估。目前使用的评分标准包括桑尼布鲁克面部评分系统（Sunnybrook Facial Grading System，SFGS）或豪斯-布拉克曼评分系统（House-Brackmann Grading System，HBGS），这些评分标准基于临床医生的判断。然而，这些评估方法可能会受到一定程度的主观性影响。近来技术的进步使人们对人工智能（AI）越来越感兴趣。人工智能可以开发一种适用于临床环境的客观、自动和定量的评估工具。这种方法旨在减少目前评估中的主观性。我们对 38 名中重度至全功能全瘫患者进行了一项回顾性研究。研究的目的是确定 Emotrics+（一种基于人工智能的面部度量工具）的优点和局限性，以确定该工具是否适用于临床。该方案在两个不同的时间段（PFP 术后 14 天和 1 年）使用 SFGS 量表和 Emotrics+ 软件进行。我们评估了评分者之间和评分者内部的可靠性，以确定这两种工具的可靠性和可重复性。然后，我们建立了两种工具之间的相关性，以确定 Emotrics+ 是否遵循 SFGS 的趋势。我们目前的结果并不支持该软件的直接适用性。不过，经过适当调整，Emotrics+ 还是有一定潜力的。

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

Annales De Chirurgie Plastique Esthetique 医学-外科

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

44 days

期刊介绍： Qu''elle soit réparatrice après un traumatisme, pratiquée à la suite d''une malformation ou motivée par la gêne psychologique dans la vie du patient, la chirurgie plastique et esthétique touche toutes les parties du corps humain et concerne une large communauté de chirurgiens spécialisés. Organe de la Société française de chirurgie plastique reconstructrice et esthétique, la revue publie 6 fois par an des éditoriaux, des mémoires originaux, des notes techniques, des faits cliniques, des actualités chirurgicales, des revues générales, des notes brèves, des lettres à la rédaction. Sont également présentés des analyses d''articles et d''ouvrages, des comptes rendus de colloques, des informations professionnelles et un agenda des manifestations de la spécialité.