Home » Artificial intelligence to predict and enhance craniofacial dysmorphic syndromes diagnosis

Artificial intelligence to predict and enhance craniofacial dysmorphic syndromes diagnosis

Date: 17 January 2023

Thematic area

  • Health


Project type

  • Research and education


Country

  • Brazil


Duration

  • 3 years


Partners

  • HRAC (Bauru), State University of Amazonas


Scientific supervisor

  • Chiarella Sforza


Founded by

  • MAECI

Snapshot of project

ObjectivesBeneficiaries
– to develop and use Deep Learning techniques for an early diagnosis of craniofacial syndromes
– to learn the integrated use of instruments for medical imaging
– to exchange information about the best clinical practices
– to train novel health professionals in the diagnosis of craniofacial syndromes		Direct: children with craniofacial anomalies, their families; health professionals
Indirect: local society (early health-related intervention reducing secondary costs.
Role of UNIMI
Data collection, analysis, interpretation; teaching and training.
Attachments
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