Facial features of lysosomal storage disorders.

IF 2.7 Q3 ENDOCRINOLOGY & METABOLISM Expert Review of Endocrinology & Metabolism Pub Date : 2022-11-01 Epub Date: 2022-11-16 DOI:10.1080/17446651.2022.2144229
Andrea D'Souza, Emory Ryan, Ellen Sidransky
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Abstract

Introduction: The use of facial recognition technology has diversified the diagnostic toolbelt for clinicians and researchers for the accurate diagnoses of patients with rare and challenging disorders. Specific identifiers in patient images can be grouped using artificial intelligence to allow the recognition of diseases and syndromes with similar features. Lysosomal storage disorders are rare, and some have prominent and unique features that may be used to train the accuracy of facial recognition software algorithms. Noteworthy features of lysosomal storage disorders (LSDs) include facial features such as prominent brows, wide noses, thickened lips, mouth, and chin, resulting in coarse and rounded facial features.

Areas covered: We evaluated and report the prevalence of facial phenotypes in patients with different LSDs, noting two current examples when artificial intelligence strategies have been utilized to identify distinctive facies.

Expert opinion: Specific LSDs, including Gaucher disease, Mucolipidosis IV and Fabry disease have recently been distinguished using facial recognition software. Additional lysosomal disorders LSDs lysosomal storage disorders with unique and distinguishable facial features also merit evaluation using this technology. These tools may ultimately aid in the identification of specific LSDs and shorten the diagnostic odyssey for patients with these rare and under-recognized disorders.

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溶酶体贮积症的面部特征。
面部识别技术的使用为临床医生和研究人员提供了多样化的诊断工具,以准确诊断罕见和具有挑战性的疾病患者。可以使用人工智能对患者图像中的特定标识符进行分组,以识别具有相似特征的疾病和综合征。溶酶体贮积障碍是罕见的,有些具有突出和独特的特征,可以用来训练面部识别软件算法的准确性。溶酶体贮积障碍(lsd)值得注意的特征包括面部特征,如眉毛突出、鼻子宽、嘴唇、嘴巴和下巴增厚,导致面部特征粗糙而圆润。涵盖的领域:我们评估并报告了不同lsd患者面部表型的患病率,并注意到目前使用人工智能策略识别不同相的两个例子。专家意见:特定的lsd,包括戈谢病,黏液脂质沉积症IV和法布里病,最近使用面部识别软件进行了区分。具有独特和可区分的面部特征的其他溶酶体疾病(lsd)也值得使用该技术进行评估。这些工具可能最终有助于识别特定的lsd,并缩短这些罕见和未被识别的疾病患者的诊断过程。
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来源期刊
Expert Review of Endocrinology & Metabolism
Expert Review of Endocrinology & Metabolism ENDOCRINOLOGY & METABOLISM-
CiteScore
4.80
自引率
0.00%
发文量
44
期刊介绍: Implicated in a plethora of regulatory dysfunctions involving growth and development, metabolism, electrolyte balances and reproduction, endocrine disruption is one of the highest priority research topics in the world. As a result, we are now in a position to better detect, characterize and overcome the damage mediated by adverse interaction with the endocrine system. Expert Review of Endocrinology and Metabolism (ISSN 1744-6651), provides extensive coverage of state-of-the-art research and clinical advancements in the field of endocrine control and metabolism, with a focus on screening, prevention, diagnostics, existing and novel therapeutics, as well as related molecular genetics, pathophysiology and epidemiology.
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