- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Clears AI Software for CT Detection and Triage of Obstructive Hydrocephalus
Indicated for the triage and notification of obstructive hydrocephalus on non-contrast brain computed tomography (CT), the artificial intelligence (AI)-enabled software is reportedly the first radiology triage modality to obtain the Food and Drug Administration’s (FDA) Breakthrough Device Designation.
The Food and Drug Administration (FDA) has granted 510(k) clearance for a new artificial intelligence (AI) software that may facilitate earlier brain CT detection and triage of the potentially life-threatening condition of obstructive hydrocephalus (OHCP).
Based on assessment of non-contrast brain CT scans, the AI software provides passive and active notifications on suspected cases of OHCP, according to Annalise.ai, the developer of the software. The company noted that the OHCP software is the first triage device in radiology to receive the FDA’s Breakthrough Device Designation.
The FDA clearance of the OHCP software is the 10th FDA clearance for the company’s AI-powered software applications, including five software applications that can be utilized for head CT scans, according to Annalise.ai.
“Our advanced algorithms support radiologists by facilitating prioritization of non-contrast head CT studies with suspected critical findings, thereby optimizing radiology workflow,” noted Rick Abramson, the chief medical officer at Annalise.ai. “With its set of clearances, Annalise.ai promotes faster report turnaround times by identifying and elevating critical cases for immediate attention.”
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
