This paper is in the following e-collection/theme issue:

New Methods (944) Digital Biomarkers and Digital Phenotyping (191) Imaging Informatics (193) Machine Learning (1465) Data Science (270) Artificial Intelligence (1371)

Published on in Vol 26 (2024)

This is a member publication of Charite - Universitaetsmedizin Berlin, Medizinische Bibliothek, Germany

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42904, first published .
Validation of 3 Computer-Aided Facial Phenotyping Tools (DeepGestalt, GestaltMatcher, and D-Score): Comparative Diagnostic Accuracy Study

Validation of 3 Computer-Aided Facial Phenotyping Tools (DeepGestalt, GestaltMatcher, and D-Score): Comparative Diagnostic Accuracy Study

Validation of 3 Computer-Aided Facial Phenotyping Tools (DeepGestalt, GestaltMatcher, and D-Score): Comparative Diagnostic Accuracy Study

Authors of this article:

Alisa Maria Vittoria Reiter1 Author Orcid Image ;   Jean Tori Pantel1, 2, 3 Author Orcid Image ;   Magdalena Danyel1, 4, 5 Author Orcid Image ;   Denise Horn1 Author Orcid Image ;   Claus-Eric Ott1 Author Orcid Image ;   Martin Atta Mensah1, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations (13) Metrics

Journals

  1. Pascolini G, Scaglione G, Chandramouli B, Castiglia D, Di Zenzo G, Didona B. Broadening the PHIP-Associated Neurodevelopmental Phenotype. Children 2024;11(11):1395 View