iToBoS at the Clinic Hospital in Barcelona

26/05/2025.

iToBoS, an intelligent total-body scanner for the early detection of melanoma, at the Clinic Hospital in Barcelona.

Patient examination procedure and outcomes of the AI ​​cognitive assistant

iToBoS achievements and technological advances

31/03/2025.

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

Guidance recommendations for the future implementation of AI in the medical context

28/03/2025.

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.

iToBoS AI Cognitive Assistant

27/03/2025.

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

iToBoS whitepaper "Understanding Non-contact Dermoscopy"

24/03/2025.

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.

Great impact of iToBoS project in media in March

20/03/2025.

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.

iToBoS project at AI UK 2025 event hosted by the Alan Turing Institute

18/03/2025.

Trilateral Research was proud to represent and promote the iToBoS project at AI UK 2025, the UK’s national showcase of data science and artificial intelligence.

Mitigating bias in an AI skin cancer detection tool

15/03/2025.

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.

Application of GANs in dermatology

12/03/2025.

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.