Federal government websites often end in. The site is secure. The images of Legit. Health-AD, Legit. Health-AD-Test, and Legit. It is estimated that Therefore, a quantitative measurement that tracks the evolution of AD severity could be extremely useful in assessing patient evolution and therapeutic efficacy.
However, SCORAD has the following disadvantages: i time consuming—calculating SCORAD usually takes about 7—10 minutes per patient, which poses a heavy burden on dermatologists and ii inconsistency—owing to the complexity of SCORAD calculation, even well-trained dermatologists could give different scores for the same case. Overall, we have shown that Automatic SCORAD may prove to be a rapid and objective alternative method for the automatic assessment of AD, achieving results comparable with those of human expert assessment while reducing interobserver variability.
Atopic dermatitis AD is a multifaceted, chronic relapsing inflammatory skin disease that is commonly associated with other atopic manifestations such as allergic conjunctivitis, allergic rhinitis, and asthma Berke et al. The onset of the disease is most common by age 5 years, and early diagnosis and treatment are essential to avoid complications of AD and improve QOL Eichenfield et al. One of the advantages of using the objective SCORAD system is that it is based on a European consensus of experts on pediatric dermatology.
The system is representative and well-evaluated Schmitt et al. However, it is currently widely used in clinical practice to assess patient evolution and measure the effectiveness of treatments Butler et al. Much work has been done in the development of a better scoring system to reach a more objective and quicker-to-fill method. Likewise, the Three Item Severity score is a simple method to determine the severity of AD, and takes about 43 seconds per patient. However, all these scoring systems still suffer from the same variability problem because they share similarities with SCORAD Chopra et al.
In recent years, artificial intelligence AI has achieved human-expert-like performance in a wide variety of tasks such as skin cancer classification, detection, and lesion segmentation.
