Rare genetic disorders are, by definition, rare. That can make diagnosing them difficult for clinicians, and without a proper diagnosis, a patient might not receive the best possible treatment.
A new AI-powered smartphone app called Face2Gene could change that.
Its creators say it can outperform doctors at diagnosing rare genetic disorders in children by analyzing kids' faces. Eventually, the app could help children across the globe receive better treatment for their conditions — if it can overcome a few hurdles.
Face to Face
The Face2Gene app is the work of Boston-based digital-health company FDNA, which describes its work in a paper published in the journal Nature Medicine on Monday.
According to the paper, the team trained Face2Gene's deep-learning algorithm to identify rare genetic disorders by first feeding it more than 17,000 images of people diagnosed with one of 216 genetic syndromes. From that data, it learned to look for distinctive facial features associated with specific disorders.
When the researchers tested the app on 502 images it hadn't seen before, Face2Gene provided the correct diagnosis roughly 65 percent of the time. When given the option of providing 10 possible diagnoses, the correct one made Face2Gene's list 91 percent of the time.
The team also tested Face2Gene's disorder-identification abilities against those of 49 clinical geneticists attending a workshop on birth defects. For that unofficial trial, the researchers asked the participants to diagnose 10 children with “fairly recognizable” genetic syndromes based on a single photo of their face.
The results were striking. Only two of the clinical geneticists provided correct diagnoses for more than 50 percent of the photos. Face2Gene correctly diagnosed seven out of the 10 children.
Ideally, Face2Gene would be able to correctly identify a disorder every time. To get closer to that goal, the FDNA team needs more training data, which it hopes to generate by making the app available to healthcare professionals for free.
It also needs that training data to include more non-Caucasian faces — a 2017 study using Face2Gene to identify Down Syndrome found the healthcare app was 80 accurate in its diagnosis if a photo featured a white Belgian child, but only 37 accurate if it featured a black Congolese child.
Even at its current rate of accuracy, though, the app has already impressed at least one rare disease specialist: the University of Oxford's Christoffer Nellåker, who was not associated with the research.
"The real value here is that for some of these ultra-rare diseases, the process of diagnosis can be many, many years," he told New Scientist. "This kind of technology can help narrow down the search space and then be verified through checking genetic markers."
"For some diseases, it will cut down the time to diagnosis drastically," Nellåker continued. "For others, it could perhaps add a means of finding other people with the disease and, in turn, help find new treatments or cures."
READ MORE: AI Can Identify Rare Genetic Disorders by the Shape of Someone’s Face [New Scientist]
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