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Automatic Phenotyping of Patients on 2D Photography

Automatic Phenotyping of Patients on 2D Photography

Recruiting
All
Phase N/A

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Overview

The field of artificial intelligence is booming in medicine and in the field of diagnosis. The data can be varied: x-rays, pathology sections, or photographs.

It is considered that 30 to 40% of the 7000 rare diseases described to date cause craniofacial dysmorphia. Their detection sometimes requires the trained eye of a geneticist, because certain phenotypic traits are subtle. These diagnostic difficulties and the fact that certain diseases are extremely uncommon lead to considerable diagnostic delays

Eligibility

The patient inclusion criteria are:

  • Patients followed in medical genetics,
  • Patients undergoing maxillofacial surgery, or craniofacial surgery as part of the management of a pathology, of genetic origin or not, associated with dysmorphism of the head and neck,
  • Patients for whom frontal and profile facial photographs are taken as part of their treatment.

The inclusion criteria for control subjects are:

  • Patients followed in maxillofacial surgery, for a disease other than a rare disease associated with dysmorphia in the head or neck: acute pathology (wound) or chronic (gynecomastia).
  • Patients for whom frontal and profile facial photographs are taken as part of their treatment.

The criteria for non-inclusion of patients are:

  • Patients who have undergone facial or skull surgery before the first photo was taken.
  • Person subject to a judicial safeguard measure.
  • People objecting to the reuse of their health data.

The criteria for non-inclusion of control subjects are:

  • Pathologies affecting facial symmetry (dental cellulitis, displaced fractures).
  • Patient followed for dysmorphic syndrome or in whom dysmorphic syndrome has been suspected.
  • Person subject to a judicial safeguard measure.
  • People objecting to the reuse of their health data.

Study details
    Dysmorphia
    Orphan Diseases
    Dysmorphies Craniofaciales

NCT06219421

Imagine Institute

14 May 2026

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