BioMedAI TWINNING
Future of explainable artificial intelligence research in healthcare
News
Privacy Risks of Whole-Slide Image Sharing in Digital Pathology
12 May 2023
“The increasing demand for sophisticated clinical diagnostics leads to the need for semi-automatic systems using AI and machine learning to speed up the diagnosis process, and the BioMedAI project aims to establish close cooperation between computer science and clinical experts to develop explainable and trustworthy AI solutions through virtual training, workshops, and summer schools, while also increasing the visibility and presence of explainable AI research in healthcare.”
Petr Holub, Project Lead