Year: 2024
Type: article
Abstract: The alarming shortage of dermatologists in the world poses a real problem in terms of access to medical expertise for the treatment of skin diseases.The PASSION Dermatology project, led by the University of Basel in Switzerland, seeks to provide a solution by combining artificial intelligence with teledermatology.The aim is to develop a Machine Learning algorithm capable of recognising skin lesions with different types of pigmentation, using data from several European, African and Asian countries to form a federated learning system.For Madagascar, which joined the project in 2020, the data is collected by a team of dermatologists via a collaborative teledermatology platform.The team has sent a total of 323 photos of atopic dermatitis/eczema, dermatophytosis, impetigo and scabies to the server.Currently, a local study is being carried out to improve the collection system in order to speed up the volume of data with a view to reaching 1,000 photos per year for model training with local photos for these 5 most common skin diseases in Madagascar.Using the algorithm developed in Switzerland and India, the model was evaluated using a confusion matrix to give a precision/recall performance result of 0.92/0.93(n =2429).In addition, the Madagascar technical team is looking to improve this model and is currently developing an algorithm that will produce an intelligent computer-guided medical self-learning system, a new challenge for the African continent.
DOI: 10.70961/dtlp7413
Authors: ANDRIAMBOLOLONIAINA Faly Herizo, RANDRIAMANALINA Rojo Nofodiantsoa, GOTTFROIS Philippe, RAKOTOARISAONA Mendrika Fifaliana, TRAORE Ibrahim, MAVURA David, RAVONIMANANTSOA Ndaohialy Dana, RATOVOHERY Andry Nirilalaina, RANDRIAMBOAVONJY Rado Lalao
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4406526374