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.
Newsletter
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
Twenty Years of CT Colonography for Colorectal Cancer Screening: What the Research Reveals
August 1st 2025Computed tomography colonography (CTC) demonstrated a 91.6 percent positive predictive value (PPV) for polyps > 6 mm, according to new research involving over 9,000 patients who underwent CTC for primary asymptomatic colorectal cancer screening.
Chest CT for Post-COVID-19 Abnormalities: Nine Takeaways from a Multi-Society Consensus Statement
August 1st 2025Developed by 21 thoracic radiologists, the new international consensus statement addresses appropriate indications, scan acquisition and keys to reporting for the use of chest CT imaging in evaluating for residual lung abnormalities from COVID-19.
Study Reveals Significant Prevalence of Abnormal PET/MRI and Dual-Energy CT Findings with Long Covid
August 1st 2025In a prospective study involving nearly 100 patients with Long Covid, 57 percent of patients had PET/MRI abnormalities and 90 percent of the cohort had abnormalities on dual-energy CT scans.
