- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Clears Adjunctive AI for Non-Contrast CT of Brain Injuries and Hemorrhages
RapidAI’s Rapid Hyperdensity tool reportedly allows quicker assessment of hyperdense tissue in the brain via non-contrast computed tomography (CT) scans.
RapidAI has received FDA 510(k) clearance for Rapid Hyperdensity, an artificial intelligence (AI)-enabled tool that may allow for more timely assessment of traumatic brain injuries and hemorrhages.
Rapid Hyperdensity’s AI-powered review of non-contrast computed tomography (CT) enables radiologists to quickly determine the extent of hyperdense tissue volume associated with acute neurological conditions such as intracerebral hemorrhage (ICH), according to RapidAI.
Alejandro M. Spiotta, M.D., said the automated detection of intracranial hyperdense tissue volume with Rapid Hyperdensity is a significant advance in facilitating timely triage and ongoing assessment of patients with ICH.
“Detection of ICH via AI can save lives by helping to speed up diagnosis and accelerate transfer to the best physician and hospital that can take care of the patient,” noted Dr. Spiotta, the director of the Neuroendovascular Surgery Division at the Medical University of South Carolina. “With the addition of automatic hyperdense volume measurement, physicians can more easily track volume over time and help quickly identify which patients may require an intervention.”
New CT and MRI Research Shows Link Between LR-M Lesions and Rapid Progression of Early-Stage HCC
January 2nd 2025Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Mammography Study Suggests DBT-Based AI May Help Reduce Disparities with Breast Cancer Screening
December 13th 2024New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).
