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Automatic Phenotyping of Patients on 2D Photography
Sponsor: Imagine Institute
Summary
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
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
22000
Start Date
2025-01-01
Completion Date
2028-03-01
Last Updated
2026-01-12
Healthy Volunteers
No
Interventions
Clinical data reuse
Clinical data reuse
Locations (1)
Necker - Hôpital des Enfants Malades
Paris, France