Nov 28 - Dec 2, 2021 in Chicago
On our AI platform ‘deepcOS’, we integrate and host a myriad of curated AI applications from our globally leading AI partners for streamlining 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.
The use of AI provides new opportunities for medical practice and radiology diagnostics. Research studies over the past years have suggested a tremendous potential AI can unlock for future workflows.
Now, the scientific focus shifts towards the demonstration of real-world clinical value and ways how to increase trust in AI solutions. We shed light on industry-leading use cases and real-world examples during our RSNA speaking session.
Albane Grandjean, Head of Marketing and Clinical Affairs, GLEAMER
Topic: Reducing Missed Fractures in Trauma X-Rays
Peter Chang, MD, Assistant Professor, UC Irvine, Co-Founder and CMO, Avicenna.ai
Topic: Deep Learning for AI Enabled Stroke Triage
Prof. Dr. med. Alexander Huppertz, CEO, Neo Q
Topic: Deep Integration of AI into Guided Reporting
Philip Meier, CCO, ImageBiopsy Lab
Topic: The Value of AI in MSK Radiology
Tracy Finlayson, Sales Manager UK & Ireland, Lunit
Topic: Lunit INSIGHT - Increasing AI Quality in CXR and MMG
Dr. Jens Opalka, Head of Medical Affairs, Marketing & Business Development, mediaire
Topic: Boosting Neuro-MRI with the AI-based Toolkit mdbrain