Orphan Diseases Clinical Trial
— AIDY2Official title:
Automatic Phenotyping of Patients on 2D Photography
NCT number | NCT06219421 |
Other study ID # | AIDY 2 |
Secondary ID | |
Status | Not yet recruiting |
Phase | |
First received | |
Last updated | |
Start date | March 1, 2024 |
Est. completion date | March 1, 2028 |
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
Status | Not yet recruiting |
Enrollment | 22000 |
Est. completion date | March 1, 2028 |
Est. primary completion date | March 1, 2028 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
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. |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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Imagine Institute |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Learning an algorithm on 2D front and profile photographs, by extracting geometric and textural features, to help the practitioner carry out a diagnosis. | Learning an algorithm on 2D front and profile photographs, by extracting geometric and textural features, to help the practitioner carry out a diagnosis. | through study completion, an average of 1 year | |
Secondary | Carry out phenotype/genotype correlations to explain the phenotype of a particular genetic variant | Carry out phenotype/genotype correlations to explain the phenotype of a particular genetic variant | through study completion, an average of 1 year | |
Secondary | Study the facial characteristics of a syndrome depending on ethnicity | Study the facial characteristics of a syndrome depending on ethnicity | through study completion, an average of 1 year | |
Secondary | Study the facial characteristics of a syndrome depending on age | Study the facial characteristics of a syndrome depending on age | through study completion, an average of 1 year |
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