Managing Editor
@ShahidNShah
@ShahidNShah
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.
Continue reading at ai.jmir.org
Make faster decisions with community advice
- Effects of Remote Patient Monitoring on Health Care Utilization in Patients With Noncommunicable Diseases
- Facilitators, Barriers, and Cultural Appropriateness of Mindfulness-Based Interventions Among Saudi Female University Students: Qualitative Study
- Illuminating The Dark Spaces Of Healthcare With Ambient Intelligence
- Mapping Digital Transformation And Social Impact In Italian Healthcare: A Holistic Evaluation Of Organizational Digital Maturity
- Predicting Spinal Cord Injury Prognosis Using Machine Learning: Systematic Review and Meta-Analysis
