FDA Clears CT-Based AI Tools for PE Detection and Stroke Severity Assessment
The artificial intelligence (AI) modalities CINA-iPE and CINA-ASPECTS may facilitate improved detection of incidental pulmonary embolism and stroke evaluation, respectively, based on computed tomography (CT) scans.
The Food and Drug Administration (FDA) has granted 510(k) clearance to the artificial intelligence (AI)-powered CINA-ASPECTS, which may enhance the evaluation of stroke severity, and the AI-enabled CINA-IPE, which is geared toward bolstering the detection of incidental pulmonary embolism (PE).
Based off brain non-contrast computed tomography (NCCT) images, the CINA-ASPECTS modality provides heat mapping probabilities of sulcal effacement and hypodensity, identifies infarcted regions and offers automated ASPECT scoring for stroke severity, according to Avicenna.AI, the developer of CINA-ASPECTS.
The newly FDA-cleared CINA-ASPECTS reportedly provides automated ASPECTS scoring of stroke severity based off of non-contrast CT scans of the brain, according to Avicenna.AI. (Photo courtesty of Avicenna.AI.)
"The validations and multi-reader-multi-case studies we conducted highlighted that CINA-ASPECTS not only obtained outstanding standalone performance, but also demonstrated that its adjunctive use significantly improved clinicians' accuracy in the assessment of ASPECTS regions, compared to the conventional use of NCCT images alone," added Yasmina Chaibi, a clinical affairs manager for Avicenna.AI.
Avicenna.AI said the CINA-iPE modality, reportedly validated on 381 CT scans from 39 different CT scanner models, may facilitate timely triage with its strong sensitivity and specificity for the diagnosis of incidental PE.
Study: AI-Generated ADC Maps from MRI More Than Double Specificity in Prostate Cancer Detection
June 5th 2025Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.
Can AI Assessment of PET Imaging Predict Treatment Outcomes for Patients with Lymphoma?
June 2nd 2025The use of adjunctive AI software with pre-treatment PET imaging demonstrated over a fourfold higher likelihood of predicting progression-free survival (PFS) in patients being treated for lymphoma, according to a new meta-analysis.
Lunit Unveils Enhanced AI-Powered CXR Software Update
May 28th 2025The Lunit Insight CXR4 update reportedly offers new features such as current-prior comparison of chest X-rays (CXRs), acute bone fracture detection and a 99.5 percent negative predictive value (NPV) for identifying normal CXRs.
