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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...
Background Spinal dysraphism is suspected in patients with midline abnormalities, especially in those with lumbosacral cutaneous markings. A recent prospective study demonstrated that isolated cutaneous infantile hemangiomas (IH) of the lumbosacral region have one of the highest risks (relative risk of 438) of associated spinal dysraphism. Objective The specific types of dysraphism and radiological...
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