aceArtificial Intelligence and Digital Health in the Diagnosis of Leprosy: Current Advances and Future Perspectives
Leprosy remains a significant public health challenge in endemic regions, where delayed diagnosis leads to irreversible nerve damage, disability, and ongoing transmission. To address the need for innovative diagnostic strategies, artificial intelligence (AI) and digital health technologies have emerged as promising tools. This review explores the current applications of machine learning, deep learning, computer vision, and mobile health platforms in leprosy diagnosis and management. AI-based image analysis demon…
AI image analysis and smartphone telemedicine may help identify leprosy lesions and extend specialist care, contact tracing and treatment monitoring to underserved settings.
AI leprosy diagnostics are held back by scarce annotated datasets, algorithmic bias, missing external validation and data privacy concerns.
The review states that AI diagnostics for leprosy still lack high-quality annotated datasets and external validation, and that algorithmic bias and privacy concerns remain unresolved.
Evidence
- Peer-reviewedActa Microbiologica Hellenica2026-10-22
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Truvace Impact Record TRV-2026-2183, v1: “Artificial Intelligence and Digital Health in the Diagnosis of Leprosy: Current Advances and Future Perspectives.” Truvace, 2026-10-22. /record/TRV-2026-2183 (accessed at citation time). sha256 ba9117730c6d08b6…
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