AI and machine learning for clinical diagnostics
3 European H2020 organizations list this as part of their work — 2 as their primary capability.
Most active in this area
- SIEMENS HEALTHCARE GMBH
Global medical technology company contributing imaging systems, X-ray detector innovation, and clinical AI to European health research consortia.
“MAESTRIA (AI for atrial fibrillation), PANCAIM (AI for pancreatic cancer), EuCanImage (cancer imaging platform), MLFPM2018 (ML for precision medicine), and zelig (neuroimaging statistics) show sustained investment in clinical AI.”
PrimaryDE14 projects - AKERSHUS UNIVERSITETSSYKEHUS HF
Norwegian university hospital specializing in patient adherence research, sleep medicine, and AI-driven clinical diagnostics within large European health consortia.
“SLEEP REVOLUTION applies deep learning and machine learning techniques to digital sleep diagnostics.”
NO3 projects - EMPATICA SRL
Italian digital health SME applying AI and machine learning to sleep diagnostics and chronic disease management in EU research consortia.
“Both SLEEP REVOLUTION and TIMESPAN rely on ML and deep learning applied to patient health data for diagnosis, risk stratification, and treatment monitoring.”
PrimarySMEIT2 projects