A deep learning system for differential diagnosis of skin diseases

Understand

Skin conditions affect an estimated 1.9 billion people worldwide.

• A shortage of dermatologists causes long wait times and leads patients to seek dermatologic care from general practitioners.
• However, the diagnostic accuracy of general practitioners has been reported to be only 0.24-0.70 (compared to 0.77-0.96 for dermatologists), resulting in referral errors, delays in care, and errors in diagnosis and treatment.
• In this paper, we developed a deep learning system (DLS) to provide a differential diagnosis of skin conditions for clinical cases (skin photographs and associated medical histories).