Literature DB >> 31551534

Using facial analysis technology in a typical genetic clinic: experience from 30 individuals from a single institution.

Yuri A Zarate1, Katherine A Bosanko2, Karen W Gripp3.   

Abstract

Entities:  

Mesh：

Year:  2019        PMID： 31551534     DOI： 10.1038/s10038-019-0673-6

Source DB:  PubMed          Journal:  J Hum Genet        ISSN： 1434-5161            Impact factor:   3.172


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  4 in total

1.  First Italian experience using the automated craniofacial gestalt analysis on a cohort of pediatric patients with multiple anomaly syndromes.

Authors:  Giulia Pascolini; Mauro Calvani; Paola Grammatico
Journal:  Ital J Pediatr       Date:  2022-06-13       Impact factor: 3.288

2.  Craniofacial features of 3q29 deletion syndrome: Application of next-generation phenotyping technology.

Authors:  Bryan C Mak; Rossana Sanchez Russo; Michael J Gambello; Nicole Fleischer; Emily D Black; Elizabeth Leslie; Melissa M Murphy; Jennifer Gladys Mulle
Journal:  Am J Med Genet A       Date:  2021-05-03       Impact factor: 2.802

3.  Diagnostic performance of artificial intelligence to detect genetic diseases with facial phenotypes: A protocol for systematic review and meta analysis.

Authors:  Bosheng Qin; Qiyao Quan; Jingchao Wu; Letian Liang; Dongxiao Li
Journal:  Medicine (Baltimore)       Date:  2020-07-02       Impact factor: 1.817

4.  Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study.

Authors:  Jean Tori Pantel; Nurulhuda Hajjir; Magdalena Danyel; Jonas Elsner; Angela Teresa Abad-Perez; Peter Hansen; Stefan Mundlos; Malte Spielmann; Denise Horn; Claus-Eric Ott; Martin Atta Mensah
Journal:  J Med Internet Res       Date:  2020-10-22       Impact factor: 5.428
  4 in total

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