aidy.eu

AIDY

Illustration of a face analyzed by AI

Artificial intelligence for rare-disease diagnosis. From a simple front and profile photo, the AIDY app directs patients with rare diseases toward the right care pathway, with a geolocated referral.

Illustration of facial landmarks detected by AI

AIDY is a research project of the Forme et Croissance du Crâne lab, developed atNecker - Enfants malades Hospital and Institut Imagine under Prof. Roman Hossein Khonsari, in partnership with the AIDY association. Illustrations: Emma Blanc-Tailleur.

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The problem

5 years of diagnostic wandering

According to the WHO, there are between 6,000 and 8,000 different rare diseases, affecting about 300 million people worldwide — about 3 million in France. 80% are genetic in origin and often affect children. On average, patients wait 5 years and see 8 doctors before getting a diagnosis.

900+

genetic syndromes detectable with distinctive facial features

10,000+

patients included in the database

85,000+

face photos analyzed (March 2026)

How it works

Photo analysis in seconds

Secure sign-in via the e-CPS portal or by invitation. The user photographs the face from the front and in profile in good lighting; the algorithm compares facial traits against AIDY's database and suggests a list of likely syndromes ranked by probability, with a geolocated referral to expert centers.

GDPR-compliant, hosted on HDS-certified (Hébergeur de Données de Santé) French servers; photos are not stored on AIDY's servers, only on the user's phone.

Medical device pending certification — does not replace a medical diagnosis.

Legal and regulatory framework

On the path to a certified medical device

Since June 2025, AIDY has been carried by a French non-profit association, founded by Institut Imagine, AFM-Téléthon, and Dr Antoine Ferry, so that every healthcare professional can use the tool free of charge. AP-HP and Orphanet are expected to join the association.

Data processing received a favorable opinion from the CNIL and CESREES (French data protection and health-research ethics authorities) in April 2024. Roadmap: a first, orientation-only version (no CE marking) in 2025, CE marking as a Class IIa medical device in 2026, then further development (including hand and foot analysis) in 2027.

Research

Synthetic faces and privacy

Teaching and diagnosing rare diseases relies on observing characteristic facial traits — but sharing these images creates a dilemma between transmitting knowledge and protecting patients. AIDY is developing a synthetic-face-generation method: from a small number of real diagnosed-patient photos, an AI learns the disease's characteristic traits and then generates hundreds of synthetic face variations — faithfully reproducing the phenotypic traits without reproducing any real patient's identity.

Team

Who's behind AIDY

AIDY is an association, founded by Institut Imagine and AFM Téléthon.

Amandine Ban

Amandine Ban

Clinical photographer

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Ludovic Bénichou

Ludovic Bénichou

Researcher

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Hélène Chautard

Hélène Chautard

Liaison with Institut Imagine

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Marie Feigna

Marie Feigna

Maxillofacial surgeon

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Antoine Ferry

Antoine Ferry

President

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Pauline Fournier

Pauline Fournier

Clinical photographer

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Nicolas Garcelon

Nicolas Garcelon

Research Director, Institut Imagine

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Quentin Hennocq

Quentin Hennocq

Chief Scientific Officer

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Roman Hossein Khonsari

Roman Hossein Khonsari

Chief Medical Officer; head of the Forme et Croissance du Crâne lab

Olivier Lienhard

Olivier Lienhard

CTO

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Ahmed Zaiter

Ahmed Zaiter

Researcher

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Former members

Thomas Bongibault

Thomas Bongibault

Researcher

See the lab's team →

Founders

Founding members

Institut Imagine

AFM Téléthon

Research

Publications

  • Evaluation of a New Inclusive Next-Generation Synthetic Face Tool for Dysmorphology.

    Benichou L, Breton L, Garcelon N, et al., Khonsari RH. 2026. American Journal of Medical Genetics.

  • Next Generation Phenotyping and Synthetic Faces in Coffin Siris Syndrome.

    Hennocq Q, Lienhard O, Rao D, et al., Khonsari RH. 2024. Clinical Genetics.

  • Humanitarian Facial Recognition for Rare Craniofacial Malformations.

    Hennocq Q, Bongibault T, Garcelon N, Khonsari RH. 2024. Plastic & Reconstructive Surgery – Global Open.

  • Artificial intelligence-based diagnosis in fetal pathology using external ear shapes.

    Hennocq Q, Garcelon N, Bongibault T, et al., Khonsari RH. 2024. Prenatal Diagnosis.

  • AI-based diagnosis and phenotype–genotype correlations in syndromic craniosynostoses.

    Hennocq Q, Paternoster G, Collet C, et al., Khonsari RH. 2024. Journal of Cranio-Maxillofacial Surgery.

  • Next generation phenotyping for diagnosis and phenotype–genotype correlations in Kabuki syndrome.

    Hennocq Q, Willems M, Amiel J, et al., Khonsari RH, Garcelon N. 2024. Scientific Reports (Nature).

  • AI-based diagnosis in mandibulofacial dysostosis with microcephaly using external ear shapes.

    Hennocq Q, Bongibault T, Marlin S, et al., Khonsari RH. 2023. Frontiers in Pediatrics.

  • An automatic facial landmarking for children with rare diseases.

    Hennocq Q, Bongibault T, Bizière M, et al., Khonsari RH. 2023. American Journal of Medical Genetics.