News

Stakeholder workshop on the social and ethical impacts of xAI in healthcare

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.

Ethical AI - Perspectives from Patient Advocates: Ethics and Emerging Technology – Group 4

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.

Ethical AI - Perspectives from Patient Advocates: Ethics and Emerging Technology - Group 3

1/07/2024.

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

Perspectives from Patient Advocates: Ethics and Emerging Technology - Group 2 (Part 2)

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.

Perspectives from Patient Advocates: Ethics and Emerging Technology - Group 2 (Part 1)

19/06/2024.

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

Polarimetric parametres for skin evaluation

14/06/2024.

Polarized light has wide spread advantges in-vivo skin imaging and is used to various ends. In the case of pre cancer diagnostics, polarized light has been rightly able to distinguish between benign nevi, melanocytic nevus, melanoma, and normal skin. Here we present a general overview of non-contact polarimetry that relies on certain parameters, as it is relevant to the iToBoS project.

Automatic Pose Detection and Anonymization Using MediaPipe

11/06/2024.

MediaPipe is a set of open-source machine learning libraries created by Google that allow easy access to many models including object detection, image classification, image segmentation, and face detection.

Patient advocates vs European Health Data Space (EHDS) Regulations – a difference in perspectives?

6/06/2024.

Trilateral Research previously blogged about a workshop the team hosted on Ethical AI at MPNE Consensus Data 2024 for the iToBoS project.

Innovation in iToBoS

5/06/2024.

iToBoS project has been selected to participate in the EU Innovation Radar.

iToBoS presented in the course “Mastering Machine Learning Techniques: Application to Melanoma Detection”

1/06/2024.

Prof. Rafael Garcia from Universitat de Girona and coordinator of the iToBoS project has taught the “Mastering Machine Learning Techniques: Application to Melanoma Detection” course in Pisa between 27 and 31 May 2024.

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