- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Grants 510(k) Clearance for AI Detection and Triage of Cervical Spine Fractures
The CINA-CSpine AI software reportedly demonstrated a 90.3 percent sensitivity rate for cervical spine fractures in validation testing on more than 300 non-contrast CT scans.
The CINA-CSpine artificial intelligence (AI) software has garnered 510(k) clearance from the Food and Drug Administration (FDA) for the detection and triage of cervical spine fractures on computed tomography (CT) scans.
Facilitating timely treatment of cervical spine fractures, the CINA-CSpine software provides automated flagging of suspected acute fractures and subsequent alerts to reviewing radiologists, according to Avicenna.AI, the developer of the software.
In validation testing involving over 300 CT scans acquired from 36 scanner models and five different vendors, the company said the newly FDA-cleared CINA-CSpine software demonstrated a 90.3 percent sensitivity for cervical spine fractures. (Photo courtesy of Avicenna.AI .)
In validation testing involving over 300 CT scans acquired from 36 scanner models and five different vendors, the company said the CINA-CSpine software demonstrated a 90.3 percent sensitivity rate and a 91.9 percent specificity rate for cervical spine fractures.
"These results demonstrate that our CINA-CSpine algorithm is capable of providing prompt and accurate findings that could positively guide physicians towards better assessments and improved patient outcomes," added Cyril Di Grandi, the co-founder and chief executive officer of Avicenna.ai.
Computed Tomography Study Assesses Model for Predicting Recurrence of Non-Small Cell Lung Cancer
January 31st 2025A predictive model for non-small cell lung cancer (NSCLC) recurrence, based on clinical parameters and CT findings, demonstrated an 85.2 percent AUC and 83.3 percent sensitivity rate, according to external validation testing in a new study.
