Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19263, first published .
Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study

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

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

Journals

  1. Dunkel L, Fernandez-Luque L, Loche S, Savage M. Digital technologies to improve the precision of paediatric growth disorder diagnosis and management. Growth Hormone & IGF Research 2021;59:101408 View
  2. Hong D, Zheng Y, Xin Y, Sun L, Yang H, Lin M, Liu C, Li B, Zhang Z, Zhuang J, Qian M, Wang S. Genetic syndromes screening by facial recognition technology: VGG-16 screening model construction and evaluation. Orphanet Journal of Rare Diseases 2021;16(1) View