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Application of Deep Learning-Based Multimodal Data Fusion for the Diagnosis of Skin Neglected Tropical Diseases
Neglected tropical diseases (NTDs) are the most prevalent diseases and comprise 21 different conditions. One-half of these conditions have skin manifestations, known as skin NTDs. The diagnosis of skin NTDs incorporates visual examination of patients, and deep learning (DL)–based diagnostic tools can be used to assist the diagnostic procedures.
Medigy Insights
Deep learning models that combine multiple data types (images, clinical records, and patient data) significantly improve the accuracy of skin disease diagnosis compared to traditional AI methods. For U.S. healthcare, this highlights the potential of multimodal AI tools to support dermatologists, enable earlier detection, and improve diagnostic efficiency in telehealth and underserved areas.
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