1/08/2024.

UDG has published a new peer-reviewed scientific article in the Springer Link Journal of Machine Vision and Applications. The work was supported by iToBoS project, under European Union’s Horizon 2020 grant agreement No 955221.

25/07/2024.

Society has been adapting to increasingly complex technological inventions for decades, from computers, the Internet, and smartphones to today's artificial intelligence (AI).

22/07/2024.

In autumn 2023 the European Commission (DG CNECT in collaboration with DG RTD, DG SANTE and other services and Executive Agencies) organised three online workshops on the re-use of health data resources in the field of cancer research.

19/07/2024.

The World Conference on Explainable Artificial Intelligence is an annual conference that brings together scientists, academics, and professionals.

8/07/2024.

iToBoS partners hosted a workshop on the social and ethical impacts of explainable artificial intelligence (xAI) in healthcare, where they discussed and debated a number of issues that strike at the heart of the iToBoS project: privacy, data protection, explainability, clinical efficacy, and ethics.

5/07/2024.

This is the final blog in a series of 5 which discusses the results of the Ethical AI workshop at MPNE Consensus Data 2024.

3/07/2024.

Dr. Josep Malvehy, from the Dermatology Department at Hospital Clínic de Barcelona, delivered an extensive presentation on the role of artificial intelligence (AI) in dermatology at the conference held in Thessaloniki in 2024.

1/07/2024.

On July 1, 2024, at the EADV Dermoscopy Course in Thessaloniki, Greece, J. Malvehy gave a presentation titled "Digital follow-Up."

30/06/2024.

This is the fourth blog, in a series of five, discussing the results of the Ethical AI workshop at MPNE Consensus Data 2024.

25/06/2024.

Continuing from the previous blog (Ethical AI – Perspectives from Patient Advocates: Ethics and Emerging Technology – Group 2 (Part 1)), this blog focuses on the remaining results from Group 2. These results include discussions on explainability, trust and transparency.