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Siemens Healthineers Debuts AI-Rad Companion Chest CT Based on New AI-Rad Companion Platform

Permits Automated Structured Reporting for Radiology Examinations

RSNA 2018 in Chicago: South Building, Hall A, Booth 4136 During the 104 Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), 25 Nov 2018-30 Nov 2018 at Chicago’s McCormick Place, Siemens Healthineers presents its first intelligent software assistant for radiology, The AI-Rad Companion Chest CT,¹ which brings artificial intelligence to computed tomography (CT). Using CT images of the chest, the software can differentiate between various structures in that region of the body, highlight them individually, and mark and measure potential abnormalities in the lungs, heart, aorta, and coronary arteries. AI-Rad Companion Chest CT automatically translates its findings into structured reports.

“Artificial intelligence won’t replace radiologists. It is designed to help relieve them of routine manual imaging workflow tasks and may potentially increase the efficiency and quality of diagnostic imaging processes.”

Featuring underlying algorithms that were trained by Siemens Healthineers scientists on extensive clinical datasets, AI-Rad Companion Chest CT is designed to help radiologists interpret images via automation for potentially reduced time spent on results documentation. Siemens Healthineers plans additional intelligent assistants for the AI-Rad Companion platform.

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“One goal we have for our intelligent software assistants is that they’ll help healthcare providers overcome the challenge of rising patient numbers coupled with shortfalls in staff,” says Yan Beynon, Head of Digital Services at Siemens Healthineers. “Artificial intelligence won’t replace radiologists. It is designed to help relieve them of routine manual imaging workflow tasks and may potentially increase the efficiency and quality of diagnostic imaging processes.”

While chest images display a wide variety of information, radiologists mainly assess these images with regard to the primary indication. The algorithms in AI-Rad Companion Chest CT are able to provide segmentation, measurement, and highlighting to support quantitative and qualitative analysis. The intelligent assistant generates standardized, reproducible, and quantitative reports based on the AI-supported analysis.

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AI-Rad Companion Chest CT supports a variety of tasks. Those tasks include automated identification, localization, labeling, and measurement of lung lesions, as well as automated quantification of the total calcium volume in the coronary arteries.

A cloud-based solution, AI-Rad Companion Chest CT uses certified, secure teamplay² infrastructure. The software integrates seamlessly into existing clinical workflows and conforms to Digital Imaging and Communications in Medicine (DICOM) standards. The images and supporting information can be made available automatically in the picture archiving and communication system (PACS).

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