- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
A new feature with a cloud-native radiology software may allow enhanced instantaneous loading of images over standard Internet connectivity.
RamSoft said Progressive Loading, a new feature of the company’s OmegaAI software, provides image uploading for radiologists that is faster than the majority of on-site networks and traditional cloud-based software offerings.
Progressive Loading, a new feature of RamSoft’s OmegaAI software, reportedly provides image uploading for radiologists that is faster than the majority of on-site networks and traditional cloud-based software offerings. Citing an internal study, RamSoft noted that an India-based radiologist was able to manipulate a breast tomosynthesis study within one second of receiving the images via the OmegaAI software. (Images courtesy of RamSoft.)
Recently launched at the HIMSS conference, Progressive Loading has the capability of loading initial images of a 3,000-slice computed tomography (CT) set in one second or less through a standard Internet connection, according to RamSoft. The company also cited an internal study that demonstrated how an India-based radiologist was able to manipulate a breast tomosynthesis study within one second of receiving the images via the OmegaAI software.
“We repeatedly see radiologists react in amazement when they realize that they are looking at large radiology images delivered via a zero-footprint reader in a web browser,” noted Siva Ramanathan, the chief technology officer for RamSoft. “As our team developed OmegaAI, we worked diligently on delivering a cloud-native radiology experience with an image presentation speed that is faster than legacy on-prem radiology software. Our implementation of Progressive Loading helps us deliver on that promise even more."
AI Mammography Platform Shows Promising Results for Detecting Subclinical Breast Cancer
October 3rd 2024Mean artificial intelligence (AI) scoring for breasts developing cancer was double that of contralateral breasts at initial biennial screening and was 16 times higher at the third biennial screening, according to a study involving over 116,000 women with no prior history of breast cancer.
Can AI Enhance CT Detection of Incidental Extrapulmonary Abnormalities and Prediction of Mortality?
September 18th 2024Emphasizing multi-structure segmentation and feature extraction from chest CT scans, an emerging AI model demonstrated an approximately 70 percent AUC for predicting significant incidental extrapulmonary findings as well as two-year and 10-year all-cause mortality.
