Add to Favourites
To login click here
This study aimed to validate the accuracy of a machine learning model for diagnosing 44 skin diseases in a real-life setting. The model was compared to the accuracy of General Practitioners (GPs) and teledermatology (TD) dermatologists. The study included 100 consecutive patients with skin problems who visited a participating GP in central Catalonia, Spain, between June 2021 and October 2021. The skin issue was first assessed by the GPs, and then an anonymised skin disease picture was taken and uploaded to the ML application, which returned a list with the Top-5 possible diagnosis in order of probability. The same image was then sent to a dermatologist via TD.