Fast, reliable Skin Cancer detection with AI
Twenty partners are working together to develop the diagnostic system as part of the EU-funded iToBoS project
Melanoma is responsible for 60 percent of all malignant skin growths, and the incidence of this kind of cancer has increased dramatically in recent years. It is often detected too late, as diagnostic methods that allow for early detection are laborious and costly. In a full-body skin scan, dermatologists study each pigmented skin lesion in isolation, looking for typical signs of melanoma — a time-consuming and error-prone kind of health check. The Intelligent Total Body Scanner for Early Detection of Melanoma (iToBoS) EU project has brought together 20 project partners (see list below) with the aim of accelerating and improving the existing examination method with an AI-based full-body scanner. The project has multiple goals: to increase the automated preliminary medical history throughput, optimize early detection of cancers, ease the burden on healthcare professionals, lower the risk to patients and reduce the number of unnecessary biopsies performed. The iToBoS scanner developed by project partner Bosch automatically scans the entire body in just six minutes, using a cognitive AI assistant that relies on AI models and XAI methods from Fraunhofer HHI, among other features. Medical professionals see a risk assessment for each individual mole.
The scanner is the centerpiece of the cloud-based AI diagnostic platform also developed in the project, which combines health data from various sources, such as patient files, genomic data and in vivo imaging. The EU is providing 12.1 million euros in funding for the project.
Project partners are:
BARCO NV, Canfield Scientific, Coronis Computing SL, Fraunhofer HHI, Fundació Clínic per a la Recerca Biomèdica, IBM Israel – Science and Technology Ltd., Institute for Computer Science and Control (SZTAKI), Isahit, Leibniz University Hannover, Melanoma Patient Network Europe, National Technical University of Athens, Optotune AG, RICOH Spain IT Services SLU, Robert Bosch España SA, Torus Actions SAS, Trilateral Research Limited, University of Trieste, University of Queensland, University of Girona (coordinator), V7 Ltd.
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