His face can reveal if you have a rare disease
A new breakthrough technology to diagnose about 4,000 rare diseases only by analyzing the facial features of a patient.
Paradoxically, diseases called 'rare' are not so, since about 10% of patients worldwide suffers. That is because, although each of them affects a small number of people, added are very numerous, and now in the world have registered some 8,000 rare conditions.
People who suffer any of these ailments are often not even aware of their illness, because their diagnosis is very difficult and requires special qualifications. Moreover, most of them are genetic mutations and not many doctors know how to diagnose them .
As he pointed out by ' Wired ' most rare conditions are diagnosed by evaluating the morphological characteristics of a patient, a medical practice called 'dysmorphology'. But, as described the expert cited by half, Dekel Gelbman, only 25% of patients with rare diseases receive a final diagnosis.
A novel remedy
To solve the problem, the company which is Gelbman CEO, FDNA created a diagnostic application of rare diseases: Face2Gene. Behind its development are the same people who created facial recognition technology for Facebook.
Face2Gene can diagnose about half of the 8,000 known rare diseases using facial patterns obtained hundreds of thousands of images from your database. The application uses artificial intelligence for analysis facial Photo patient analyzes the relevant characteristics and compares them with images of more than 10,000 cases of incidence.
Just a few seconds after uploading the image, the doctor obtains a short list of possible diseases. According to Gelbman, application helps increase the number of definitive diagnoses 50%.
"When we launched the application was a success overnight , " says Gelbman. Since its launch, the promising application has analyzed tens of thousands of patients from 129 countries, and Gelbman expects about 20,000 patients will soon use this new system. RT analyzes relevant characteristics and compares the images of more than 10,000 cases of incidence. Just a few seconds after uploading the image, the doctor obtains a short list of possible diseases. According to Gelbman, application helps increase the number of definitive diagnoses 50%. "When we launched the application was a success overnight , " says Gelbman. Since its launch, the promising application has analyzed tens of thousands of patients from 129 countries, and Gelbman expects about 20,000 patients will soon use this new system. RT analyzes relevant characteristics and compares the images of more than 10,000 cases of incidence. Just a few seconds after uploading the image, the doctor obtains a short list of possible diseases. According to Gelbman, application helps increase the number of definitive diagnoses 50%. "When we launched the application was a success overnight , " says Gelbman. Since its launch, the promising application has analyzed tens of thousands of patients from 129 countries, and Gelbman expects about 20,000 patients will soon use this new system. RT According to Gelbman, application helps increase the number of definitive diagnoses 50%. "When we launched the application was a success overnight , " says Gelbman. Since its launch, the promising application has analyzed tens of thousands of patients from 129 countries, and Gelbman expects about 20,000 patients will soon use this new system. RT According to Gelbman, application helps increase the number of definitive diagnoses 50%. "When we launched the application was a success overnight , " says Gelbman. Since its launch, the promising application has analyzed tens of thousands of patients from 129 countries, and Gelbman expects about 20,000 patients will soon use this new system.
RT
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