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Automatic Phenotyping of Patients on 2D Photography

NCT06219421 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 22000

Last updated 2026-01-12

No results posted yet for this study

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

Conditions

  • Dysmorphia
  • Orphan Diseases
  • Dysmorphies Craniofaciales

Interventions

OTHER

Clinical data reuse

Clinical data reuse

Sponsors & Collaborators

  • Imagine Institute

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-01
Primary Completion
2028-03-01
Completion
2028-03-01

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06219421 on ClinicalTrials.gov