Literature DB >> 31884430

Computer-aided Facial Analysis in Diagnosing Dysmorphic Syndromes in Indian Children.

Dhanya Lakshmi Narayanan1, Prajnya Ranganath2, Shagun Aggarwal2, Ashwin Dalal3, Shubha R Phadke4, Kaushik Mandal4.   

Abstract

OBJECTIVE: To assess the utility of computer-aided facial analysis in identifying dysmorphic syndromes in Indian children.
METHODS: Fifty-one patients with a definite molecular or cytogenetic diagnosis and recognizable facial dysmorphism were enrolled in the study and their facial photographs were uploaded in the Face2Gene software. The results provided by the software were compared with the molecular diagnosis.
RESULTS: Of the 51 patients, the software predicted the correct diagnosis in 37 patients (72.5%); predicted as the first in the top ten suggestions in 26 (70.2%). In 14 patients, the software did not suggest a correct diagnosis.
CONCLUSIONS: Computer-aided facial analysis is a method that can aid in diagnosis of genetic syndromes in Indian children. As more clinicians start to use this software, its accuracy is expected to improve.

Entities:  

Mesh:

Year:  2019        PMID: 31884430

Source DB:  PubMed          Journal:  Indian Pediatr        ISSN: 0019-6061            Impact factor:   1.411


  3 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.  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

3.  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

  3 in total

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