Contact our expert team today and get to know the technology of tomorrow!
March 2-6 I Online • July 13-17 I Vienna & Online
On our AI platform “deepcOS”, we integrate and host a myriad of curated and proven AI applications from our globally leading AI partners for streaming radiology workflows. With only a single installation in the radiology IT infrastructure, institutions can now easily access, install, and deeply integrate regulatory-cleared AI algorithms already covering more than 30 indication fields.
mediaire: Boosting Neuro MRI with the AI-based toolkit mdbrain
b-rayz: The AI platform for breast diagnostics
Xvision: From hype to real-world use-cases – how AI can aid radiologists
ImageBiospy Lab: Unlocking value based osteoporosis care – AI based vertebral fracture screening enabling better patient workflows
Annalise.ai: Beyond narrow AI solutions – why a comprehensive approach to AI is crucial
Cerebriu: Acquiring the right data for the right patient at the right time
Neo-Q: Deep integration of AI into guided reporting
Gleamer: Improving fracture detection in pediatric X-rays – a multi-reader study
contextflow: Deep learning for quantitative profiling of lung CTs
Lucida Medical: Integration of AI to enhance the efficiency, accuracy and clinical impact of reporting of MRI in prostate cancer diagnosis
Radiobotics: Unlocking clinical value through MSK imaging AI
Aidence: From screening to routine practice – Using AI for early lung cancer detection
Lunit: The use of AI for mammography and chest X-ray to shape the patient's Pathway
AZmed: How to build an international AI solution taking into account local specificities
Qure.ai: Radiology AI impacting healthcare delivery – our experience in UK
Milvue: AI and emergency X-ray – a safety net to improve your workflow
CTO Anna Tidstam, Ph.D., EMBA
"Continuous Learning in Radiology AI"
CEO Dr. Franz Pfister, MD, MBA
"Effectively Translating AI into Clinical Value"