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

Alisa Maria Vittoria ReiterJean Tori PantelMagdalena DanyelDenise HornClaus-Eric OttMartin Atta Mensah
Published in: Journal of medical Internet research (2024)
If used with caution, algorithms such as D-score could help clinicians with constrained resources or limited experience in syndromology to decide whether a patient needs further genetic evaluation. Algorithms such as DeepGestalt could support diagnosing rather common genetic syndromes with facial abnormalities, whereas algorithms such as GestaltMatcher could suggest rare diagnoses that are unknown to the clinician in patients with a characteristic, dysmorphic face.
Keyphrases
  • machine learning
  • deep learning
  • genome wide
  • soft tissue
  • copy number
  • palliative care
  • case report
  • gene expression
  • clinical evaluation