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

Jean Tori Pantel   1, 2 * ;   Nurulhuda Hajjir   1, 3 * ;   Magdalena Danyel   1, 4 ;   Jonas Elsner   1 ;   Angela Teresa Abad-Perez   1 ;   Peter Hansen   1, 5 , PhD ;   Stefan Mundlos   1, 6 , Prof Dr ;   Malte Spielmann   6, 7 , Prof Dr ;   Denise Horn   1 , Prof Dr ;   Claus-Eric Ott   1 , MD ;   Martin Atta Mensah   1, 8 , MD

1 Institute of Medical Genetics and Human Genetics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany

2 Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany

3 Klinik für Pädiatrie mit Schwerpunkt Gastroenterologie, Nephrologie und Stoffwechselmedizin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany

4 Berlin Center for Rare Diseases, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany

5 The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States

6 RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany

7 Institute of Human Genetics, University of Lübeck, Lübeck, Germany

8 Berlin Institute of Health (BIH), Berlin, Germany

*these authors contributed equally

Corresponding Author:

  • Martin Atta Mensah, MD
  • Institute of Medical Genetics and Human Genetics
  • Charité - Universitätsmedizin Berlin
  • corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health
  • Berlin
  • Germany
  • Phone: 49 30 450 569 132
  • Fax: 49 30 450 569 914
  • Email: martin-atta.mensah@charite.de