Automated detection of skin reactions in epicutaneous patch testing using machine learning

Patch testing is the diagnostic gold standard to identify causes of allergic contact dermatitis (ACD); however, the paucity of specialized patch testing clinics along with the need for multiple clinic visits can be burdensome for patients and healthcare systems. Automated classification of allergic reactions from photographs offers the opportunity to reduce patient, physician, and clinic time and improve access to care.