January 14, 2019
“DeepGestalt is a facial image analysis framework that can highlight similarities to hundreds of genetic disorders. It is a type of artificial intelligence that can efficiently learn the relevant visual appearances of genetic conditions, and provide relevancy scores for them. It is based on the recent machine learning tools, called deep learning. In practice, we use artificial neural networks to learn subtle patterns in the face and create a mathematical representation for those. DeepGestalt is like a mathematical aggregated representation of the knowledge of thousands of experts.”
The article from Digital Trends discusses how FDNA’s Face2Gene technology leverages AI to assist doctors in diagnosing unusual genetic disorders using facial scans. Face2Gene analyzes photographs of patients’ faces to identify subtle phenotypic features linked to specific genetic conditions. This innovative decision support tool empowers medical professionals to achieve quicker and more accurate diagnoses, particularly for rare and complex genetic disorders that are difficult to identify through traditional methods. The technology marks a significant advancement in personalized medicine, improving patient care by enabling early intervention.
