The Rology teleradiology platform may improve access to top tier-imaging interpretation for stand-alone imaging centers, rural facilities and low-income patients.
The Food and Drug Administration (FDA) has granted 510(k) clearance for Rology, an on-demand teleradiology platform, which is currently being utilized in nine countries, and may bolster the capabilities of stand-alone imaging centers in the United States.
In addition to facilitating seamless acquisition of DICOM images and encryption of data, Rology said the artificial intelligence (AI)-enabled teleradiology platform matches the imaging review requests with top radiologists based upon subspeciality and availability. The company noted the Rology platform has access to a network of 306 reviewing radiologists.
Rology noted the teleradiology platform features a variety of FDA-cleared modules including an automatic image acquisition tool (Rology Connect), a workflow management system and DICOM viewer. The company added that 69 percent of scans with the Rology platform undergo peer review.
Rology emphasized that the zero-footprint platform improves access to top-tier imaging, noting that 39 percent of its scan requests originate from rural areas and 46 percent of its scans have been performed for low-income patients.
"This clearance doesn't just represent technological advancement, it symbolizes hope for countless medical providers, especially (stand-alone imaging centers) and the underserved public hospitals,” emphasized Moaaz Hossam, the chief business officer of Rology. “With this platform, they can now provide world-class radiology services, ensuring that every patient, irrespective of their location or the institution's size, receives top-notch care.”
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.
MRI-Based AI Model Shows Promise in Predicting Lymph Node Metastasis with Breast Cancer
April 15th 2024For the prediction of axillary lymph node metastasis in patients with breast cancer, an MRI-based, 4D convolutional neural network model demonstrated an AUC of 87 percent and sensitivity of 89 percent, according to new research.