Actors from different sectors, backgrounds and involvement with the acquisition, access and management of health data met in Berlin in the context of the MPNE 2024 Consensus in the framework of the iToBoS project.
Berlin, 1/02/2024.
Presentation of the perspectives of generative Artificial Intelligence in melanoma at the MPNEconsensus 2024 by the iToBoS partner Leibniz University Hannover.
Dermoscopy is a powerful method used in dermatology to analyze the features of skin lesions.
Semi-supervised learning is a type of machine learning paradigm that falls between supervised and unsupervised learning.
Artificial intelligence (AI) systems have become more and more prevalent in everyday life and especially in enterprise settings.
As artificial intelligence (AI) rapidly advances, its integration into dermatology, particularly through Generative Adversarial Networks (GANs), is opening new horizons in patient education and skin cancer diagnosis.
The iToBoS project has previously written on the emergence of policy initiatives, regulatory frameworks and legislative proposals concerning a European Health Data Space [1].
Multimodal learning is the challenging task of using data from various modalities to improve the capacity of one model.
Realistic image super-resolution is the task of creating an image with perceptually realistic details from a lower quality image.