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- Mammography
Pie Medical Imaging Launches AI-Powered Echocardiography Platform
CAAS Qardia 2.0, an updated version of the CAAS Qardia echocardiography software platform, reportedly incorporates artificial intelligence (AI)-enabled workflows, and provides enhanced imaging and analysis of key cardiac measures.
Combining off-cart echocardiography analysis with artificial intelligence (AI) capabilities, Pie Medical Imaging has launched the FDA-cleared CAAS Qardia 2.0 platform.
An update to the company’s CAAS Qardia echocardiography software, the CAAS Qardia 2.0 software offers robust visualization of stress-echo imaging and diastolic function, and reportedly excels at analysis of myocardial strain and other cardiac assessments, according to Pie Medical Imaging.
The company notes that quality control indices with the CAAS Qardia 2.0 platform enable clinicians to counteract potential foreshortening of cardiac imaging that may impact measurements such as myocardial strain. Leveraging AI-powered workflows, the CAAS Qardia 2.0 software generates automated reporting of key parameters.
Pie Medical imaging adds that the CAAS Qardia software can be server-based with access from any PC within a hospital network or be deployed in a stand-alone setup.
(Editor's note: For a related article, see "FDA Clears AI-Powered Echocardiography Platform for Detecting Heart Failure with Preserved Ejection Fraction.")
New AI-Powered Ultrasound Devices May Enhance Efficiency in Women's Imaging
April 19th 2024One of the features on the new Voluson Signature 20 and 18 ultrasound devices reportedly uses automated AI tools to facilitate a 40 percent reduction in the time it takes to perform second trimester exams.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
AI Adjudication Bolsters Chest CT Assessment of Lung Adenocarcinoma
April 11th 2024The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.
