- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
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.
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
New Survey Explores Radiologist and Neurologist Comfort Level with AI Triage for Brain MRI
January 7th 2025Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.
