Publications by authors named "Johan A C Allerup"
Introduction Atopic dermatitis (AD) severity is traditionally evaluated during in-office consultations; however, this does not provide continuous monitoring and any intermittent flare/remission cycles are usually not recorded. The aim was to apply smartphone technology to evaluate AD severity; to explore if severity based on highly frequent sampling of photographs are associated with patient reported outcomes, and to investigate disease fluctuations and trigger associations based on passively collected environmental data. Methods In this 12-week decentralized observational study adult patients with AD were recruited online and used a tailored remote clinical trial platform app to perform all study tasks including capturing photographs and completing the patient-oriented eczema measure (POEM) weekly.
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- Chronic urticaria (CU) involves symptoms like wheals and angioedema that may not be visible during medical visits, leading to challenges in diagnosis.
- A study assessed the effectiveness of smartphone photos taken by CU patients before their first clinic appointment, focusing on photo quality and usefulness for physicians.
- Findings revealed that a significant number of patients (79.7%) took photos, mostly of wheals, and the majority (86%) of these photos were deemed useful for clinical evaluation, indicating that self-captured images can aid in diagnosis.
An estimated 3 billion people lack access to dermatological care globally. Artificial intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However, most AI models have not been assessed on images of diverse skin tones or uncommon diseases.
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