Lasse Reinhardt
lasse.reinhardt@deepc.ai

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Contact our expert team today and get to know the technology of tomorrow!

Meet us at the

March 2-6 I Online • July 13-17 I Vienna & Online

The Radiology AI Platform

How do we streamline the use of AI in radiology?

Find out at the booth AI-21, ECR 2022

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.

Book your ECR meeting!

You are interested in rolling out our AI platform deepcOS at your institution?
You are an AI company seeking to deploy your algorithms on deepcOS?
You are a radiology IT company interested in a partnership with us?
Learn more about the clinical value of Radiology AI!

Join our onsite partner seminars at booth AI-21

Wed, July 13, 14-14:30

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

Thu, July 14, 14-14:40

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

Fri, July 15, 14-14:40

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

Sat, July 16, 14-14:30

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

Sun, July 17, 14-14:20

Qure.ai: Radiology AI impacting healthcare delivery – our experience in UK

Milvue: AI and emergency X-ray – a safety net to improve your workflow

Our AIX Theatre Speaking Slots

Wed, July 13, 13:35-13:41

CTO Anna Tidstam, Ph.D., EMBA

"Continuous Learning in Radiology AI"

Thu, July 14, 13-13:20

CEO Dr. Franz Pfister, MD, MBA

"Effectively Translating AI into Clinical Value"