An AI marketplace platform may shorten time for purchase decision and implementation, thus aiding AI adoption.

Considering that there are hundreds of 510(k) cleared radiology AI solutions customers, it is a huge task determine which algorithms fit your needs. Moreover, adopting just one AI solution into your reporting workflow can take months and that time grows when you want to integrate multiple AI solutions. According to Dr. Ankur Sharma, Head of Radiology Digital Medical Affairs at Bayer Radiology, “Using the platform potentially shortens the process of integration from months to weeks”.

AI Marketplace Platform Facilitates Decision and Implementation

The AI marketplace platform basically works like an app store, but “It is not as simple, there are regulatory processes to consider,” Sharma admitted. “And the key is to be sure to focus on what you need.”

The AI marketplace platform integrates AI solutions into radiology workflows.

Using a common installation platform ensures that each AI implementation is not a standalone project for every application that is added. An `AI orchestrator´ decides what image goes to which algorithm. Multiple AI solutions can be connected to one platform that routes all studies to the appropriate algorithm. Finally, the information is sent back to the PACS workstation. As usual, radiologists read and evaluate images on the PACS workstation – only now supported by AI decisions. Radiologists have the choice whether they accept or reject the AI decision.

Conclusion

AI solutions are becoming part of the practice of radiology. “I am sure in a few years thousands of AI solutions will become available,” Ankur Sharma says. AI marketplace platforms will help facilitate their adoption.

Title: Driving AI deployment at scale in the Radiology Workflow

Location: RSNA 2022

Date: 28 November 2022