Development of an artificial intelligence algorithm for the diagnosis of infantile hemangiomas.

Prompt and accurate diagnosis of infantile hemangiomas is essential to prevent potential complications. This can be difficult due to high rates of misdiagnosis and poor access to pediatric dermatologists. In this study, we trained an artificial intelligence algorithm to diagnose infantile hemangiomas based on clinical images. Our algorithm achieved a 91.7% overall accuracy in the diagnosis of facial infantile hemangiomas.

Worsening Rash in a Patient With Metastatic Breast Cancer.

A 56-year-old woman with metastatic hormone receptor­positive, ERBB2-negative breast cancer presents with pruritic, erythematous, scaly macules and papules on her forearms, faces, chest, and upper back. What is your diagnosis?