Team der Leibniz Universität Hannover ist am Projekt iToBoS beteiligt, das die Europäische Union mit zwölf Millionen Euro fördert.
L’intelligence artificielle est un outil créé par l’humain, et pour l’humain. Il s’agit de près d’un siècle de recherches menées par de grands mathématiciens. D’ajouts continus de nouvelles données. Performante et fiable, l’intelligence artificielle est au service de l’humain. Si elle est au cœur des conversations et questionnements, c’est car elle prend une réelle place.
The work "CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations", supported by iToBoS project, has been published.
The scientific work "Explaining Machine Learning Models for Clinical Gait Analysis", with the support of iToBoS project, has been published.
The scientific work "Information Patients With Melanoma Spontaneously Report About Health-Related Quality of Life on Web-Based Forums: Case Study", with the support of partners of iToBoS project, has been published.
The human resource issue is spreading internationally, and it is apparent that it is not viable to offer care without labor. The healthcare workforce crisis is due to at least three key issues: doctor shortages globally, the aging and burnout of physicians and a greater need for chronic care due to the increase in life expectancy.
The iToBoS project is presented by the Girona Science and Technology Park (ParcUdG) as an international research project for the early detection of melanoma.
iToBoS has been presented in Innovación Médica (Medical Innovation), a Spanish media aimed at medical research, management, technology and health services, addressed to the specialist hospital and primary care physicians.
Designing and manufacturing a machine for a brand new application always starts by the same simple question: how to make it works?
The overall aim of the iToBoS project is to build new diagnostic tools for the early detection of melanoma, exploiting all the available information of the patient.