A key concern in the field of digital dermatology is to effectively translate scientific findings into practical digital applications. The rapid development of artificial intelligence (AI) techniques, in particular deep learning, has revolutionized medical imaging. In a recent study, a vision transformer (ViT) model showed great potential for image classification in the context of HS diagnostics. In another study, the focus was on improving self-management skills in HS. An app developed specifically for this purpose showed promising results in the pilot phase.
Autoren
- Mirjam Peter, M.Sc.
Publikation
- DERMATOLOGIE PRAXIS
Related Topics
You May Also Like
- Esophageal Cancer
A Comparison of Endoscopic and Surgical Innovations
- PMR and LVV: Current EULAR Recommendations
Polymyalgia rheumatica, giant cell arteritis, and Takayasu arteritis
- Psychedelic-assisted therapy
Current status of PAT
- First-line treatment for T2D
SGLT2i, metformin, or both?
- Biophilic Design of Work Environments
Effects on Health, Well-Being, and Productivity
- From symptom to diagnosis
Intrapelvic mass with an ambiguous differential diagnosis
- Endocrinology: APECED-Associated Hypoparathyroidism
A parathyroid hormone analog corrected serum calcium levels
- Transient ischemic attack