Google is able to accurately detect 26 skin diseases

Google has announced that its own artificial intelligence system is capable of detecting 26 skin diseases accurately, such as dermatologists, which are one of the most common types of diseases in the world, after the colds, fatigue and headaches.

It is estimated that 25% of all treatments provided to patients worldwide are dedicated to skin diseases and that 37% of patients seen at the clinic have at least one skin condition.

The huge workload in cases and the worldwide shortage of dermatologists have forced patients to look for general practitioners, who tend to be less specific than specialists in determining conditions.

This trend has prompted Google researchers to design an artificial intelligence system that can detect the most common skin diseases in primary care.

In a new research paper, Google explained that the system is able to detect 26 skin conditions accurately when images and metadata about the patient's condition are presented to it, and claims to be on a walking foot. equality with licensed dermatologists in the United States.

Google Software Engineer Yuan Liu and Google Health Technical Director Peggy Bui wrote: We have developed an In-Depth Learning System (DLS) to treat the most common skin diseases in healthcare. primary health.

"This study highlights the potential of DLS to increase the ability of general practitioners not having additional specialized training to accurately diagnose skin diseases."

Google explained that dermatologists do not have a single diagnosis of skin disease, but they listed possible diagnoses for systematic diagnosis in laboratory tests, imaging, procedures, and subsequent consultations.

The Google system follows the same approach, treating entries that include one or more clinical images of skin abnormalities and up to 45 types of metadata, such as age, gender, and symptoms.