Kereval Evaluates the Fairness of AI Models in Oncology
24 February 2026
Kereval is one of 17 successful applicants to a call for expressions of interest issued by the Health Data Hub (HDH), which is implementing the government’s strategy for the National Health Data System (SNDS). The project led by Kereval, known as Santé2Fair, aims to develop a methodological framework for assessing the fairness of artificial intelligence (AI) … Kereval Evaluates the Fairness of AI Models in Oncology
Kereval, partner in the European i2X project, to optimize the use of healthcare data
4 June 2025
Kereval has been selected along with 37 partners to improve and facilitate the exchange of healthcare data within the European Union, as part of the European i2X project. The aim of this project is to demonstrate the concrete and sustainable implementation of the European Electronic Health Record Exchange Format (also known as EEHRxF or X-Format) … Kereval, partner in the European i2X project, to optimize the use of healthcare data
Formal verification of Artificial Intelligence
29 August 2023
Motivations Artificial Intelligence (AI) is now present in many of the services we use, and is becoming increasingly so, particularly in mission-critical systems such as autonomous driving, aviation and medical imaging. At the same time, it has been discovered in recent years that these AI-based systems are sensitive to certain disturbances in their inputs or … Formal verification of Artificial Intelligence
Explicability of Artificial Intelligence
2 September 2021
Why and for whom? Artificial Intelligence (AI) makes it possible to harness huge volumes of data to perform complex tasks, usually very efficiently. However, AI models, and more specifically Machine Learning and Deep Learning models, are often compared to “black boxes”, due to their opaque operation, not necessarily understandable by humans. The complexity of these … Explicability of Artificial Intelligence