Skip to main content

Project details

Diagnosing skin conditions with AI

The SkincAIr project is developing an easy-to-use AI-based tool to support the diagnosis of skin conditions caused by neglected tropical diseases.

The challenge

Many neglected tropical diseases affect the skin. Globally, almost 2 billion people have skin conditions linked to such infections, causing stigma, isolation and discrimination alongside their direct effects on health.

Assessment of skin conditions could therefore provide a rapid and convenient way to diagnose neglected tropical diseases, enabling the right treatment to be offered to patients. However, in most sub-Saharan African countries, there are shortages of specialist dermatologists who could make such diagnoses.

The project

The SkincAIr project aims to overcome this barrier using AI-based image analysis of skin lesions. Its aim is to create an AI-driven app for use in primary care settings to characterise skin lesions and provide a diagnosis to guide subsequent care.

Working in Ethiopia, Nigeria and the Democratic Republic of the Congo (DRC), the project is collating a large database of several thousand images of skin lesions associated with multiple neglected tropical diseases affecting sub-Saharan Africa, drawing on material at 12 hospitals in participating countries. These images are being carefully annotated by dermatologists and will be used to train an AI image recognition system.

The diagnostic app based on this AI system will be co-developed with health workers and other stakeholders using a rapid prototyping and revision approach. It will also incorporate educational materials for health workers, and information gathered through the app will be integrated into the standard health informatics platform (DHIS2) used locally. Each image will be geotagged, providing policymakers with epidemiological data on each neglected tropical disease.

The project will also conduct a validation study to assess diagnostic accuracy by comparing the tool’s predictions with those of expert clinicians. Impacts on diagnostic performance of health workers will then be assessed in the three participating countries through a before-and-after comparison following the introduction of the new tool.

Impact

The SkincAIr project has the potential to have a major impact on the care of neglected tropical diseases in sub-Saharan Africa. It will:

  • Provide a tool for diagnosis of neglected tropical diseases in frontline health facilities, based on their characteristic skin manifestations.
  • Ensure that patients receive a rapid diagnosis and are started on the appropriate treatment as soon as possible.
  • Lead to more rapid patient recovery and reduce the likelihood of social stigmatisation and other psychosocial harms.
  • Reduce the risk of further transmission due to untreated infections in the community.

With neglected tropical diseases affecting many millions of people in sub-Saharan Africa, the SkincAIr project could have a substantial impact on health and quality of life – particularly among some of the poorest populations in Africa, who are at particular risk of such diseases.

Consortium map

Coordinator

Scientific project leader

KENYA MEDICAL RESEARCH INSTITUTE

Location: Nairobi, Kenya

Beneficiaries

MTU AUSTRALO ALPHA LAB

Location
TALLINN, Estonia
EU contribution
€310 000,00
Total cost
€310 000,00

SHERWOOD HEALTHCARE SENEGAL SARL

Location
DAKAR, Senegal
EU contribution
€1 168 270,00
Total cost
€1 168 270,00

ARMAUER HANSEN RESEARCH INSTITUTE

Location
Addis Ababa, Ethiopia
EU contribution
€399 997,50
Total cost
€399 997,50

Leprosy and Tuberculosis Relief Initiative Nigeria

Location
JOS, Nigeria
EU contribution
€193 437,50
Total cost
€193 437,50

TEACUP CONSULTING SL

Location
MADRID, Spain
EU contribution
€705 960,95
Total cost
€705 960,95

OEUVRES HOSPITALIERES FRANCAISES DE L'ORDRE DE MALTE

Location
PARIS, France
EU contribution
€268 375,00
Total cost
€268 375,00

OMODI, AGASNA, ODIEMBO ADVOCATES LLP

Location
NAIROBI, Kenya
EU contribution
€101 486,25
Total cost
€101 486,25

KING'S COLLEGE LONDON

Location
London, United Kingdom
EU contribution
€222 500,00
Total cost
€222 500,00

UNIVERSITE CATHOLIQUE DE BUKAVU

Location
BUKAVU, Democratic Republic of the Congo
EU contribution
€222 250,00
Total cost
€222 250,00

Partners

Global Health EDCTP3-funded CATCR project logo
  • In progress
  • Cross-disease or disease unspecific
  • Tuberculosis
  • Neglected infectious diseases
Building research capacity in antimicrobial resistanceThe CATCR project is training a new generation of researchers in the increasingly critical field of antimicrobial resistance.
Global Health EDCTP3-funded STOP2030 project logo
  • In progress
  • Neglected infectious diseases
Putting a STOP to parasitic worm infectionsThe STOP2030 project is accelerating the introduction of a new treatment for parasitic worm infections, one that could accelerate their elimination...
Global Health EDCTP3-funded ResTick project logo
  • In progress
  • Emerging or re-emerging infectious diseases
  • Neglected infectious diseases
Tracking ticks and tick-borne diseasesThe ResTick project is creating infrastructure to monitor the distribution of ticks and the diseases they spread, including a key potential pandemic...