In developing the "Arch" prototype of the scanner, patient safety was paramount.

To date, majority of AI tools for skin cancer monitoring only assess single lesion images, in isolation of any patient clinical background.  

3D cameras gather detailed information about the three-dimensional shape of the patient being scanned.

Quantitative risk estimation based on clinical data, typically collected through patient questionnaires, is based on linear regression models that are readily interpretable by clinicians.

In dermatology, the term “ugly duckling” takes on a significant and practical meaning.

Stereophotogrammetry follows the principle of human visual perception to interpret the 3D information of an object from a digital camera.

This report is to provide guidelines on socio-cultural and ethical considerations for future development and exploitation of the iToBoS technologies.

The total body scanner developed in the iToBoS project mounts four collaborative robots (cobots) that move independently in order to gather the skin lesions on a patient’s body.

Generative artificial intelligence is revolutionizing our world at an unprecedented pace.

The images acquired by the HDIM Vision System should be transmitted to the main computer.