Affiliation:
1. Oakland University William Beaumont School of Medicine Auburn Hills Michigan USA
2. Department of Dermatology Northwestern University Feinberg School of Medicine Chicago Illinois USA
3. Department of Dermatology Medical Center, University of Freiburg Freiburg Germany
Abstract
AbstractAugmented intelligence (AI), the combination of artificial based intelligence with human intelligence from a practitioner, has become an increased focus of clinical interest in the field of dermatology. Technological advancements have led to the development of deep‐learning based models to accurately diagnose complex dermatological diseases such as melanoma in adult datasets. Models for pediatric dermatology remain scarce, but recent studies have shown applications in the diagnoses of facial infantile hemangiomas and X‐linked hypohidrotic ectodermal dysplasia; however, we see unmet needs in other complex clinical scenarios and rare diseases, such as diagnosing squamous cell carcinoma in patients with epidermolysis bullosa. Given the still limited number of pediatric dermatologists, especially in rural areas, AI has the potential to help overcome health disparities by helping primary care physicians treat or triage patients.
Subject
Dermatology,Pediatrics, Perinatology and Child Health