The iToBoS project (carried out from April 2021 to March 2025) represents a groundbreaking achievement in the field of dermatology.

The novel total body scanner and AI Cognitive Assistant developed in the iToBoS project can provide diagnostic advantages to clinicians and contribute to improved care and outcomes for melanoma patients.

Artificial intelligence is transforming healthcare, offering novel tools for computer aided diagnosis that can assist the clinicians in their decision making.

Non-contact dermoscopy offers significant advantages over traditional contact methods, including preservation of natural lesion structure, reduced cross-contamination risk, and enhanced capabilities for automated dermatological assessment.

The iToBoS project organized an in-person meeting of the entire consortium in Girona in March to discuss the final results and achievements. The meeting also attracted the interest of numerous national media outlets, including radio, television, and newspapers.

The Intelligent Total Body Scanner for Early Detection of Melanoma (iToBoS) tool is being developed to help clinicians make earlier, more personalised diagnoses of a particularly aggressive form of skin cancer, with funding from the European Union.

As artificial intelligence (AI) rapidly advances, its integration into dermatology has been mainly through Convolutional Neural Networks for skin cancer classification and the implementation of explainable AI in those classifications.

The integration of digital technologies, e.g., smartphone apps, represents an impactful advancement in training for melanoma diagnosis.

The early detection and accurate monitoring of suspicious skin lesions are critical for effective dermatological diagnosis and treatment, particularly for reliable identification of the progression of nevi to melanoma.

This is the final blog in a three-part series explaining the technical reporting for explainable artificial intelligence (xAI) used in the iToBoS project.