Imaging AI in Practice demonstration

The Imaging AI in Practice (IAIP) demonstration is an interoperability demonstration that takes place during the RSNA annual meeting to showcase new technologies and communication standards needed to integrate artificial intelligence (AI) into the diagnostic radiology workflow. The demonstration uses real-world clinical scenarios and interoperability standards to demonstrate new tools and practice enhancements enabled by AI.  

Read the overview and browse the videos below to learn more about how AI can be integrated into your daily clinical radiology practice.

Demonstration overview

The demonstration follows a fictional patient through a real-world clinical scenario involving both emergent and long-term care. It includes many steps in the radiology workflow where AI can assist the radiologist and improve the efficiency and quality of care.

The diagrams linked here give a visual overview of the flow of information among systems in a radiology practice with AI tools integrated: 

Imaging AI in Practice video archive

The videos below feature previous IAIP demonstration participants performing real-world clinical scenarios to show how AI can be used to support improvements in patient care.

RSNA 2021

Introduction: Imaging AI Clinical and Data Workflow
Watch an overview of the clinical scenario and process steps for the Imaging AI in Practice demonstration at RSNA 2021.

RSNA 2020

Imaging AI in Practice Demonstration Introduction
Start here for an overview of the Imaging AI in Practice demonstration’s clinical scenario and process steps.

Work with AI
This video focuses on the interaction between radiologists and AI tools.

Evolve with AI
This video covers implementing and refining AI tools to optimize them for your local environment.

Save Time with AI
This video highlights the efficiencies gained by strategically implementing AI.

RSNA 2021 Participants

Ambra
annalise
Bayer
Equium
Fovia
GE
Hyperfine
IBM Watson Health
Lunit
MModal
Medo
Microsoft
Nuance
NVIDA
Philips
Qvera
RAD AI
Rad Logistics
Siemens
Smart Reporting
Visage
Vuno