Radiologists at RSNA 2020 stand to benefit from evolving AI ecosystems

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Radiologists at RSNA 2020 stand to benefit from evolving AI ecosystems

November 24, 2020
Artificial Intelligence Business Affairs X-Ray

Karley Yoder, vice president and general manager of artificial intelligence at GE, says the company continues its rapid pace of releasing products that leverage upstream AI, in which AI creates faster, higher-quality data and is often deployed on or near devices. Examples of impactful upstream AI include MR AIR RECON DL, X-ray Critical Care Suite, and TrueFidelity CT.

In its paper AI in Healthcare: Keys to a Smarter Future, the company says embedding AI into clinical workflows will produce profound results for clinicians and patients alike. “AI holds tremendous promise to expand access to quality healthcare by freeing up human attention to focus on higher-value problem solving while ensuring a uniformly high quality of performance,” the paper stated.

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GE Healthcare and Intel have partnered on several projects to improve the efficiency of AI in medical diagnostics. GE Healthcare’s AirX™ tool, for instance, accelerates magnetic resonance imaging by using Intel AI technologies. Tapping Intel Xeon CPU-based platforms and Intel Distribution of OpenVINO Toolkit, GE Healthcare designed AirX to precisely identify and align MR scans for diagnostic neuroimaging. GE Healthcare estimates that the new tool may decrease MR set-up time by 40% to 60% while increasing accuracy and consistency.

At Siemens Healthineers, AI is prevalent across the German maker’s medical product line, including its computed tomography (CT) equipment with 3D camera for positioning and dose reduction tools. The company’s Digital Marketplace features 44 products from 10 partners as well as 28 Siemens Healthineers items, including 4 from its AI-Rad Companion product line, introduced in 2019, of AI-powered, cloud-based imaging software. The Al-Rad Companion Chest CT, for instance, detects lung nodules, and following automatic segmentation of the lung lesions, calculates the volume and maximum diameter of the lesions and the tumor burden. Siemens Healthineers develops its own AI at the Siemens Corporate Technology North American Headquarters located in Princeton, New Jersey, in collaboration with other teams from Germany and Bangalore, India, utilizing use-case collections representative of world markets.

Valentin Ziebandt, head of diagnostic imaging and digital health at Siemens Healthineers, notes that the company has processes in place to identify new AI vendors. For instance, if healthcare providers or customers inform Siemens Healthineers of a tool they already are using in clinical practice, Siemens Healthineers will investigate implementing the tool. However, if customers approach Siemens Healthineers with an application but no solution, the company will search for a solution or will develop one for the customer. A third process involves Siemens Healthineers surveying the AI landscape on its own and then identifying potential new solutions to investigate.

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