Skin conditions are among the most ordinary sort of disease just behind colds, fatigue, and headaches.

You might be surprised to know that, it is estimated that 25 percent of all treatments provided to patients around the globe are for skin conditions and that up to 37 percent of patients seen in the clinics have a minimum of one skin complaint.

The massive case workload and a worldwide shortage of dermatologists have forced patients to seek out general practitioners, who tend to be less precise than experts in identifying patient’s conditions.

In a paper (“A Deep Learning System for Differential Diagnosis of Skin Diseases“) and accompanying this blog article, they report that it accomplishes accuracy across 26 skin conditions when presented with pictures and metadata about a patient case.

“We developed a deep learning system (DLS) to address the most common skin conditions seen in primary care,” wrote Google AI software engineer Yuan Liu and Google Health technical program manager Dr. Peggy Bui.

During instruction, the model leveraged over 50,000 differential diagnoses supplied by over 40 dermatologists.

The text above is a summary, you can read full article here.