Facial recognition is generating a great deal of hope and excitement. The computing power required to train artificial intelligence algorithms has grown steadily since the 1960s, as has the sheer volume of data.
In medicine, this technology has proved highly successful. Today, facial recognition provides a new solution for geneticists in the diagnosis of certain pathologies. In particular, it enables rare genetic diseases to be detected more quickly, so that appropriate treatment can be started.
Researchers at FDNA Boston have created the Face2Gene application, which uses facial recognition and artificial intelligence to identify hundreds of different diseases. Using Deep Learning and record a large number of images of patients' faces, specifying the disease they suffer from. The application can recognize a pathology based on the face.
This new technology is gradually emerging in the neuroscience sector. We'd like to put this technology to good use in the field of addiction to detect relapses.
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