How Can Artificial Intelligence Detect Rare Diseases by Looking At Face? 

Artificial Intelligence News

How_Can-Artificial-Intelligence-Detect-Rare-Diseases-by-Looking-At-Face How Can Artificial Intelligence Detect Rare Diseases by Looking At Face? As per the recent study that found a new Artificial Intelligence technology, called DeepGestalt, can precisely detect rare genetic disorders utilizing a photograph of patient’s face. This AI tech performed better that clinicians in classifying an array of syndromes in three experiments and could add value in personalized care, as news report noted.

The study also revealed that 8 percent of the populace has ailment with key genetic components and a number of may have decipherable facial features. For instance, the technology could detect Angelman Syndrome, a disorder affecting the nervous system with trait features like an ample mouth with widely spaced teeth. The Chief Technology Officer at FDNA and lead researcher of the study, Yaron Gurovich stated about the technology that how one can effectively deploy such high-tech algorithms like deep learning, to a challenging sector the availability of data is small, unbalanced in order to available patients per condition, and where the need to aid a large amount of conditions. The study saw analysts training DeepGestalt, a deep learning algorithm, by utilizing 17,000 facial images of patients from a database of patients diagnosed with more than 200 different genetic syndromes.  The team found that the AI tech performed better than clinicians in two separate trials to recognize a target syndrome among 502 selected images.

The AI proposed a list of the potential syndrome, in each trial, and detected the right syndrome in its top 10 recommendations 91 percent of the time. On the other side, another trial perceived into recognizing diverse genetic subtypes in Noonan syndrome that holds a number of distinctive features and health issues like heart defects. The algorithm here had gain 64 percent of success rate.  As per the noted by researchers, the technology works by implementing deep learning algorithm to the facial characteristics of the given image, then creating a list of the potential syndrome.