AI platform enhances early skin cancer detection
The EU project iToBoS is developing an AI-driven whole-body scanner for quicker and more reliable early detection of skin cancer, including melanoma, providing risk assessments for skin changes.
Fraunhofer researchers are contributing to the development of an artificial intelligence-powered system for the early detection of skin cancer. The EU project iToBoS aims to significantly accelerate and improve melanoma identification compared to traditional methods.
The project utilizes a novel whole-body scanner capable of analyzing the entire body's skin in six minutes, delivering risk assessments for suspicious changes. This system is designed to alleviate the workload for healthcare professionals, reduce patient risks, and minimize unnecessary biopsies.
Key to this effort are explainable AI (XAI) techniques, integrated by Fraunhofer Institute researchers. These methods aim to make the AI's decision-making transparent and understandable, crucial for medical diagnostics.
The system's core is a cloud-based AI platform, consolidating scan imagery with patient data and other relevant information. Fraunhofer's role focuses on ensuring the reliability and explainability of the AI algorithms, a prerequisite for their safe implementation in healthcare.