CINA-CSpine

GUDID B826CINACSPINE100

CINA-CSpine is a radiological computer-assisted triage and notification software device. CINA-CSpine runs on a standard “off the shelf” server/workstation and consists of CSpine Image Processing Application, which can be integrated, deployed and used with the CINA Platform or other medical image communications devices. CINA-CSpine receives cervical spine CT scans identified by the CINA Platform or other medical image communications device, processes them using algorithmic methods involving execution of multiple computational steps to identify the suspected positive findings compatible with acute cervical spine fractures and generates results files to be transferred by CINA Platform or a similar medical image communications device for output to a PACS system or workstation for worklist prioritization. To identify the suspected presence of cervical fractures, the device uses a deep learning model trained end-to-end on 1,338 cases acquired from US and France, representing a distribution of fracture presentations, locations and acquisition protocols, including multiple scanner models. Additional deep learning models are used to locate the individual vertebrae to exclude images that do not conform to the expected field of view.DICOM images are received, recorded and filtered before processing. The series are processed chronologically by running algorithms on each series to detect suspected positive findings of a cervical spine fracture, then active notifications on the flagged series are sent to the worklist application. The Worklist Application displays the active notification of new studies with suspected findings when they come in. All the cervical spine CT studies which include at least 5 visible cervical vertebrae received by CINA-CSpine device are displayed in the worklist and those on which the algorithms have detected a suspected finding are marked with an icon [...].

AVICENNA.AI

Radiology DICOM image processing application software
Primary Device IDB826CINACSPINE100
NIH Device Record Key1fefa648-ccf6-4d0c-ae51-c975945b983e
Commercial Distribution StatusIn Commercial Distribution
Brand NameCINA-CSpine
Version Model Number1.0
Company DUNS271198112
Company NameAVICENNA.AI
Device Count1
DM Exemptfalse
Pre-market Exemptfalse
MRI Safety StatusLabeling does not contain MRI Safety Information
Human Cell/Tissue Productfalse
Device Kitfalse
Device Combination Productfalse
Single Usefalse
Lot Batchtrue
Serial Numbertrue
Manufacturing Datefalse
Expiration Datefalse
Donation Id Numberfalse
Contains Natural Rubber Latexfalse
Labeled No Natural Rubber Latexfalse
RX Perscriptiontrue
OTC Over-The-Counterfalse

Device Identifiers

Device Issuing AgencyDevice ID
HIBCCB826CINACSPINE100 [Primary]

FDA Pre-market Approvals/Notifications & deNovo

FDA Product Code

QASRadiological Computer-Assisted Triage And Notification Software

Sterilization

Steralize Prior To Usefalse
Device Is Sterilefalse

Device Entry Metadata

Public Version StatusNew
Device Record StatusPublished
Public Version Number1
Public Version Date2024-10-15
Device Publish Date2024-10-07

Devices Manufactured by AVICENNA.AI

B826CINACSPINE100 - CINA-CSpine2024-10-15CINA-CSpine is a radiological computer-assisted triage and notification software device. CINA-CSpine runs on a standard “off the shelf” server/workstation and consists of CSpine Image Processing Application, which can be integrated, deployed and used with the CINA Platform or other medical image communications devices. CINA-CSpine receives cervical spine CT scans identified by the CINA Platform or other medical image communications device, processes them using algorithmic methods involving execution of multiple computational steps to identify the suspected positive findings compatible with acute cervical spine fractures and generates results files to be transferred by CINA Platform or a similar medical image communications device for output to a PACS system or workstation for worklist prioritization. To identify the suspected presence of cervical fractures, the device uses a deep learning model trained end-to-end on 1,338 cases acquired from US and France, representing a distribution of fracture presentations, locations and acquisition protocols, including multiple scanner models. Additional deep learning models are used to locate the individual vertebrae to exclude images that do not conform to the expected field of view.DICOM images are received, recorded and filtered before processing. The series are processed chronologically by running algorithms on each series to detect suspected positive findings of a cervical spine fracture, then active notifications on the flagged series are sent to the worklist application. The Worklist Application displays the active notification of new studies with suspected findings when they come in. All the cervical spine CT studies which include at least 5 visible cervical vertebrae received by CINA-CSpine device are displayed in the worklist and those on which the algorithms have detected a suspected finding are marked with an icon [...].
B826CINACSPINE100 - CINA-CSpine2024-10-15 CINA-CSpine is a radiological computer-assisted triage and notification software device. CINA-CSpine runs on a standard “off t
B826CINAVCF100 - CINA-VCF2024-06-28 CINA-VCF is a radiological computer aided triage and notification software indicated for use in patients aged 50 years and over
B826CINAASPECTS150 - CINA-ASPECTS2024-04-08 CINA-ASPECTS is a computer-aided diagnosis (CADx) software device used to assist the clinician in the assessment and characteriz
B826CINAIPE100 - CINA-iPE2024-04-08 CINA-iPE is a radiological computer-aided triage and notification software indicated for use in patients undergoing contrast-en
B826CINACHEST100 - CINA CHEST2021-06-10 CINA CHEST is a radiological computer aided triage and notification software indicated for use in the analysis of Chest and Thor
B826CINA100 - CINA2020-12-22 CINA is a radiological computer-assisted triage and notification software device. The software system is based on algorithm-prog

© 2025 FDA.report
This site is not affiliated with or endorsed by the FDA.