Literature DB >> 30407972

Facial recognition software in clinical dysmorphology.

Anna C E Hurst1.   

Abstract

PURPOSE OF REVIEW: The current review aims to discuss the incorporation of facial recognition software into the clinical practice of dysmorphology and medical genetics. RECENT
FINDINGS: Facial recognition software has improved the process of generating a differential diagnosis for rare genetic syndromes, and recent publications demonstrate utility in both research and clinical applications. Software programs are freely available to verified medical providers and can be incorporated into routine clinic encounters.
SUMMARY: As facial recognition software capabilities improve, two-dimensional image capture with artificial intelligence interpretation may become a useful tool within many areas of medicine. Geneticists and researchers can use such software to enhance their differential diagnoses, to study similarities and differences between patient cohorts, and to improve the interpretation of genomic data. Pediatricians and subspecialists may use tools to identify patients who may benefit from a genetic evaluation, and educators can use these tools to interest students in the study of dysmorphoplogy and genetic syndromes.

Entities:  

Mesh:

Year:  2018        PMID: 30407972     DOI: 10.1097/MOP.0000000000000677

Source DB:  PubMed          Journal:  Curr Opin Pediatr        ISSN: 1040-8703            Impact factor:   2.856


  3 in total

1.  KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients.

Authors:  Lily Guo; Jiyeon Park; Edward Yi; Elaine Marchi; Tzung-Chien Hsieh; Yana Kibalnyk; Yolanda Moreno-Sáez; Saskia Biskup; Oliver Puk; Carmela Beger; Quan Li; Kai Wang; Anastassia Voronova; Peter M Krawitz; Gholson J Lyon
Journal:  Eur J Hum Genet       Date:  2022-08-15       Impact factor: 5.351

2.  Using deep-neural-network-driven facial recognition to identify distinct Kabuki syndrome 1 and 2 gestalt.

Authors:  Flavien Rouxel; Kevin Yauy; Guilaine Boursier; Vincent Gatinois; Mouna Barat-Houari; Elodie Sanchez; Didier Lacombe; Stéphanie Arpin; Fabienne Giuliano; Damien Haye; Marlène Rio; Annick Toutain; Klaus Dieterich; Elise Brischoux-Boucher; Sophie Julia; Mathilde Nizon; Alexandra Afenjar; Boris Keren; Aurelia Jacquette; Sebastien Moutton; Marie-Line Jacquemont; Claire Duflos; Yline Capri; Jeanne Amiel; Patricia Blanchet; Stanislas Lyonnet; Damien Sanlaville; David Genevieve
Journal:  Eur J Hum Genet       Date:  2021-11-22       Impact factor: 5.351

3.  Trainee perspectives of COVID-19 impact on medical genetics education.

Authors:  Amanda Barone Pritchard; Christina Sloan-Heggen; Catherine E Keegan; Shane C Quinonez
Journal:  Genet Med       Date:  2021-02-12       Impact factor: 8.864

  3 in total

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