White paper

Radiology analytics: Empowering radiologists and accelerating AI adoption

Perceptions of AI in radiology have shifted from the technology being viewed as a threat to an exciting innovation. Read the white paper to discover how using clinical analytics for AI model validation, evaluation, and performance monitoring can help improve radiology outcomes.

Nuance AI Marketplace and mPower Clinical Analytics

Commercial AI developers are now offering applications for a range of medical imaging findings and modalities, and the Nuance AI Marketplace simplifies access to these AI models. As you explore the potential of AI models within your own radiology practices, you need to be aware how data science challenges such as brittleness, concept drift and data drift can impact your efforts and results.

Read about ways mPower Clinical Analytics can help inform and guide your processes before, during and after AI adoption.

Learn more:

1

AI models are often built from limited data sets and are not always generalizable

2

Analytics tools can help with validation and testing in your environment

3

Put AI into action at scale and with confidence

To learn more, please download the white paper

Download the white
paper now!