News | Artificial Intelligence | January 25, 2019

Siemens Healthineers Debuts AI-Rad Companion Chest CT

AI-based software assistant enables automated enhanced visualization of CT images of the lungs, heart and aorta

Siemens Healthineers Debuts AI-Rad Companion Chest CT

January 25, 2019 — Siemens Healthineers presented its first intelligent software assistant for radiology, the AI-Rad Companion Chest CT, at the 2018 Radiological Society of North America (RSNA) annual meeting, Nov. 25-30 in Chicago. The software brings artificial intelligence (AI) to computed tomography (CT). Using CT images of the chest, it can differentiate between various structures in that region of the body, highlighting 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.

Featuring underlying algorithms 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.

The company said the goal of the intelligent software assistants is to help healthcare providers overcome the challenge of rising patient numbers coupled with shortfalls in staff.

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.

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, the software uses certified, secure teamplay infrastructure. It 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).

AI-Rad Companion Chest CT can analyze image data from all CT manufacturers. The software is pending 510(k) clearance with the U.S. Food and Drug Administration (FDA) and is not for sale in the U.S.

Watch the VIDEO: RSNA Post-game Report on Artificial Intelligence

For more information: www.usa.healthcare.siemens.com

Related Content

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire)

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire).

News | Artificial Intelligence | May 29, 2020
May 29, 2020 — GE Healthcare announced U.S.
Largest case series (n=30) to date yields high frequency (77%) of negative chest CT findings among pediatric patients (10 months-18 years) with COVID-19, while also suggesting common findings in subset of children with positive CT findings

A and B, Unenhanced chest CT scans show minimal GGOs (right lower and left upper lobes) (arrows) and no consolidation. Only two lobes were affected, and CT findings were assigned CT severity score of 2. Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | May 29, 2020
May 29, 2020 — An investigation published open-access in the ...
AI has the potential to help radiologists improve the efficiency and effectiveness of breast cancer imaging

Getty Images

Feature | Breast Imaging | May 28, 2020 | By January Lopez, M.D.
Headlines around the world the past several months declared that...
United Imaging's uMR OMEGA is designed to provide greater access to magnetic resonance imaging (MRI) with the world’s first ultra-wide 75-cm bore 3T MRI.
News | Magnetic Resonance Imaging (MRI) | May 27, 2020
May 27, 2020 — United Imaging's...
There were several new developments in digital radiography (DR) technology at the 2019 Radiological Society of North America (RSNA) annual meeting. These trends included integration of artificial intelligence (AI) auto detection technologies, more durable glassless detector plates, and technologies to pull more diagnostic data out of X-ray imaging. Some vendors also have redesigned their DR systems to make them more user-friendly and ergonomic. 
Feature | Digital Radiography (DR) | May 26, 2020 | By Dave Fornell
There were several new developments in digital rad...
An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019. Photo by Dave Fornell.

News | Ultrasound Imaging | May 26, 2020
May 12, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
 Recently the versatility of mixed and augmented reality products has come to the forefront of the news, with an Imperial led project at the Imperial College Healthcare NHS Trust. Doctors have been wearing the Microsoft Hololens headsets whilst working on the front lines of the COVID pandemic, to aid them in their care for their patients. IDTechEx have previously researched this market area in its report “Augmented, Mixed and Virtual Reality 2020-2030: Forecasts, Markets and Technologies”, which predicts th

Doctors wearing the Hololens Device. Source: Imperial.ac.uk

News | Artificial Intelligence | May 22, 2020
May 22, 2020 — Recently the versatility of