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AI for Radiology? It’s Operational AI

Dear Enthusiasts of the Future,

Welcome back to Next Future Today, your go-to podcast for exploring what’s coming, and how you can purposefully create your next future… today!

In our latest episode, we delved into the fascinating world of radiology and AI technology, featuring an insightful conversation with Jeff Chang, co-founder of RadAI. We explored how AI is revolutionizing radiology by streamlining reporting processes and reducing burnout among radiologists.

Radiologists often face overwhelming workloads, spending the majority of their time dictating reports for hundreds of studies with thousands of images each day. However, the release of a groundbreaking AI product has significantly alleviated this burden. By automatically generating report conclusions and recommendations, radiologists have seen a reduction in the amount they need to dictate, leading to decreased burnout and improved efficiency.

We also learned how RadAI’s operational AI solutions are seamlessly integrated into radiologists’ workflows, creating a zero-click solution that minimizes interruptions. Customized language and over 300 models and algorithms have significantly improved accuracy, demonstrating the potential of AI in improving healthcare processes.

In addition to the innovative AI applications, Jeff discussed the importance of ethical and beneficial AI implementation, emphasizing its role as a support system for radiologists. Furthermore, the episode touched on the potential impact of AI on job roles and the need for AI to be a force for positive change.

Next Future Today is committed to exploring the most cutting-edge developments in technology and their impact on various industries. We hope you find this episode as enlightening and thought-provoking as we did.

Tune in to Next Future Today and join us as we explore the trends, technologies, and ideas that are shaping the future.

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FOLLOW DAN AND JEFF

Dan Keldsen – https://www.linkedin.com/in/dankeldsen/
Jeff Chang – https://www.linkedin.com/in/jechang/

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