iToBoS presented in a course of the Spanish Academy of Dermatology and Venereology


iToBoS was presented in the framework of a course of the Academia Española de Dermatologia y Venereologia (AEDV) in Barcelona, Spain, on March 31, 2022. 

iToBoS’s ai4pa, Artificial Intelligence for Patient Advocates online course


iToBoS project has launched ai4pa (Artificial Intelligence For Patient Advocates) consisting in a training module oriented to patient advocates that serves as an introduction to transparent and explainable AI and its policy context.

Data sets for machine learning based approaches for non-contact dermoscopy


We present an overview of the online datasets meant for machine learning algorithms. As the saying goes, “An algorithm can be only as good as the data set”. 

The changing landscape of AI regulation


Until a few years ago, regulations and standards existed around the handling and use of certain types of data, including the General Data Protection Regulation (GDPR) in Europe, HIPAA and PCI-DSS in the United States, the Canadian Consumer Privacy Protection Act (CPPA) and many more.

The Deliverable "12.7. Exploitation and Business Plan" was submitted successfully.


The aim of the Deliverable 12.7. Exploitation and Business Plan is to present the common strategy for exploiting the results (both individually and collectively) of the project to ensure that they are owned by the relevant stakeholders during and after the life of the project.

Evaluating AI Explanations with Quantus


The transparency of Artificial Intelligence (AI) models is an essential criterion for the deployment of AI in high-risk settings, such as medical applications. Consequently, numerous approaches for explaining AI systems have been proposed over the years (Samek et al., 2021).

Color perception from a technical perspective


In this blogpost we want to talk about color from a technical perspective. As you might already know, dermatologists use the ABCDE-criterium for the diagnosis of melanoma.

Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement


The work "Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement", supported by iToBoS project, has been published.

[FR] L'intelligence artificielle, qu'est-ce que c'est?


L’intelligence artificielle (l’IA) soulève aussi bien des questionnements philosophiques qu’informatiques, chacun a sa petite idée au sujet des IA. Mais qu’en savons-nous vraiment? 

What is polarized light?


In the iToBoS scanner, polarized light will be used to illuminate the skin of the patient. In this blogpost we want to explore what it means when we are talking about optical polarization.