AI app aims to help frontline workers diagnose neglected skin diseases
NCT ID NCT07506967
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether a mobile app using artificial intelligence can help frontline health workers in sub-Saharan Africa better diagnose skin-related neglected tropical diseases, like leprosy and scabies. Researchers will collect images from dermatologists to train the AI, then have health workers use the app to see if their diagnostic accuracy improves. The goal is to boost early detection and care in underserved communities.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-powered mobile app for diagnosing skin diseases
- What this could lead to
- If successful, this AI tool could help frontline health workers in remote areas detect skin diseases earlier, improving treatment and disease tracking.
- What could go wrong
- This is an early-stage study testing the app's feasibility. The AI may not improve diagnosis enough, and results may not apply to all regions or diseases.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Armauer Hansen Research Institute (AHRI)
Addis Ababa, Addis Ababa, Ethiopia
-
Centre Hospitalier de l'Ordre de Malte (CHOM)
Dakar, Dakar, Senegal
-
Kenya Medical Research Institute (KEMRI)
Kisumu, Nyanza, Kenya
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Leprosy and Tuberculosis Relief Initiative Nigeria (LTR)
Jos, Plateau State, Nigeria
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Université Catholique de Bukavu (UCB)
Bukavu, South Kivu, Democratic Republic of the Congo
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Other studies related to the condition(s) this trial covers.
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