Google is able to discover 26 a skin disease accurately

Announced Google to its own system of artificial intelligence is able to discover 26 a skin disease accurately, such as dermatologists, where the skin diseases of the most common diseases at the global level, after colds and headaches.

It is estimated that 25 percent of all treatments provided to patients in all over the world dedicated to diseases of the skin, and up to 37 percent of patients who have been their participation in the clinic have a complaint, a leather one at least.

Has forced the burden of enormous work in the situations and people the world in dermatologists designers looking for general practitioners, who tend to be less accurate than the specialists when it comes to determining the conditions.

Save this communication researchers in Google to invent a system of artificial intelligence is able to discover more skin diseases common in primary care.

Google explained through the paper of the new research that the system is capable of detecting 26 a skin disease accurately when presented with images and metadata about the patient’s condition, and that it is on par with dermatologists certified from the United States.

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Wrote software engineer Google, Yuan Liu Yuan Liu, and the director of the technical program (Google Health), Peggy Bowen Peggy Bui: we have developed a system for deep learning (DLS) to address the most common skin disease common in primary health care.

They added “This study highlights the potential of DLS to increase the capacity of general practitioners who did not have the additional specialty training to diagnose skin diseases accurately”.

Google explained that dermatologists don’t give a diagnosis of one of any skin disease, but they create a ranked list of diagnoses that can include coordinated systematically by laboratory tests and subsequent imaging and procedures and consultations.

The Google system the same way as it processes the input that contain an image or more images clinical abnormalities of the skin and up to 45 kinds of metadata, such as age; and sex; and symptoms.

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