Bayer and Rad AI expand access to AI and radiology workflow solutions with new collaboration
Bayer and Rad AI have entered a strategic collaboration that will combine the pair’s digital, AI and workflow solutions, the companies announced during the annual meeting of the Society for Imaging Informatics in Medicine last week.
Specifically, Rad AI’s speech recognition reporting system, AI-driven patient follow-up management and automated radiology impression generation technologies will be integrated with Bayer’s Calantic Digital Solutions platform.
Bayer launched Calantic in June of 2022. It is a cloud-based platform that hosts a suite of applications intended to optimize radiology workflows by triaging and prioritizing critical findings, improving disease detection and automating redundant tasks for radiologists.
Integrating Rad AI’s artificial intelligence applications with the Calantic Digital Solutions platform will enable more hospitals to implement AI into their physician practices while also providing additional workflow optimization solutions to organizations struggling with staffing issues—both through a single vendor.
"Rad AI and Bayer are dedicated to pioneering innovations that serve hospitals and health systems, allowing for greater access to these advanced technologies. This relationship allows for expanded use of our cutting-edge solutions in hospitals across the country," Doktor Gurson, co-founder and CEO of Rad AI, said in a statement.
“Our customers consistently convey to us that a clear ROI from the use of AI will help to increase confidence and adoption. Demonstrating ROI via operational applications like those on Bayer’s Calantic Digital Solutions platform is often an easier path, which is why Bayer is excited to enter into this agreement with Rad AI,” added Rich Dewit, senior VP of digital solutions at Bayer Radiology. “This technology has the ability to help physicians optimize and streamline their radiology reporting, and deliver benefits for the patient and the health system.”
For more coverage on SIIM 2024, visit our Imaging Informatics page.