People with genetic syndromes sometimes have telltale facial features, but using them to make a quick and cheap diagnosis can be tricky given there are hundreds of possible conditions they may have. A new neural network that analyses photographs of faces can help doctors narrow down the possibilities.
Yaron Gurovich at biotechnology firm FDNA in Boston and his team built a neural network to look at the gestalt – or overall impression – of faces and return a list of the 10 genetic syndromes a person is most likely to have.
They trained the neural network, called DeepGestalt, on 17,000 images correctly labelled to correspond to more than 200 genetic syndromes. The team then asked the AI to identify potential genetic disorders from a further 502 photographs of people with such conditions. It included the correct answer among its list of 10 responses 91 per cent of the time.... more can be found at https://www.newscientist.com/article/2189683-ai-can-identify-rare-genetic-disorders-by-the-shape-of-someones-face/?utm_medium=SOC&utm_source=Twitter#Echobox=1546944890