Using facial analysis technology, the researchers compared a group of 156 Caucasians, Africans, Asians and Latin Americans with the disease to people without the disease. The technology used to diagnose the disease, 22q11.2 deletion syndrome, also known as DiGeorge syndrome and velocardiofacial syndrome, is similar to that used in airports and on Facebook. Researchers have successfully used a facial recognition software to diagnose a rare, genetic disease that mainly affects children of African, Asian and Latin American descent, paving the way for physicians to diagnose the disease by snapping a photo. Based on 126 individual facial features, researchers made correct diagnoses for all ethnic groups 96.6 per cent of the time, according to the study. Marius George Linguraru of the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children's National Health System in Washington, DC, developed the digital facial analysis technology used in the study.
Researchers with the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health, and their collaborators, have successfully used facial recognition software to diagnose a rare, genetic disease in Africans, Asians and Latin Americans. Using facial analysis technology, the researchers compared a group of 156 Caucasians, Africans, Asians and Latin Americans with the disease to people without the disease. The same team of researchers will next study Noonan syndrome and Williams syndrome, both of which are rare but seen by many clinicians. Based on 126 individual facial features, researchers made correct diagnoses for all ethnic groups 96.6 percent of the time. The disease, 22q11.2 deletion syndrome, also known as DiGeorge syndrome and velocardiofacial syndrome, affects from 1 in 3,000 to 1 in 6,000 children.
collected by :Lucy William
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