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Clinical publications

Tested against real-world complexity.

Multicenter, multivendor, real-world. Our CINA tools are evaluated across hospitals and teleradiology networks in the US and Europe, dozens of scanner models and everyday clinical conditions. Every figure on this site traces back to its study.

37Studies listed

9CINA tools covered

US · EUPeer-reviewed and congress

Validated performance

Every figure, traced to its study.

Every peer-reviewed and conference-presented study behind CINA, grouped by tool: the accuracy and clinical-impact figures each one reports, and a link to the paper. Filter by tool to see only the evidence that applies to you.

Tested against real-world complexity.

Every figure, traced to its study.

CINA-ICH

Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel Occlusion

Automated Identification of Intracranial Hemorrhage by Artificial Intelligence Improves Report Turnaround Time in Real Clinical Practice

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage

Refining Deep Learning Application Diagnostic Accuracy in Intracerebral Hemorrhage (ICH)

Performance of an Artificial Intelligence Tool for Multi-Step Acute Stroke Imaging: A Multicenter Diagnostic Study

Real-world impact of an AI-driven teleradiology workflow for intracranial hemorrhage detection: Reducing diagnostic delays across a multicenter emergency network

Performance of an AI-Based Automated Identification of Ischemic and Hemorrhagic Stroke in Clinical Routine

Artificial Intelligence and Acute Stroke Imaging - A Comprehensive Review

CINA-LVO

Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel Occlusion

Automated Large Vessel Occlusions Detection: Improved Diagnostic Accuracy in MCA M2 Segment Using Deep Learning

Duration and Accuracy of Automated Stroke CT Workflow with AI-Supported Intracranial Large Vessel Occlusion Detection

Validation of an Artificial Intelligence Driven Large Vessel Occlusion Detection Algorithm for Acute Ischemic Stroke Patients

Head-to-Head Comparison of Commercial Artificial Intelligence Solutions for Detection of Large Vessel Occlusion

Performance of an Artificial Intelligence Tool for Multi-Step Acute Stroke Imaging: A Multicenter Diagnostic Study

Performance of an AI-Based Automated Identification of Ischemic and Hemorrhagic Stroke in Clinical Routine

Artificial Intelligence and Acute Stroke Imaging - A Comprehensive Review

CINA-ASPECTS

Validation of a Deep Learning AI-Based Software for Automated ASPECTS Assessment

Deep Learning in Emergency Radiology: Evaluating a Tool for Automated ASPECTS Scoring in Acute Ischemic Stroke

Deep Learning-Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time

Performance of an Artificial Intelligence Tool for Multi-Step Acute Stroke Imaging: A Multicenter Diagnostic Study

Performance of an AI-Based Automated Identification of Ischemic and Hemorrhagic Stroke in Clinical Routine

Artificial Intelligence and Acute Stroke Imaging - A Comprehensive Review

CINA-PE

Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection

Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT Angiograms

Shorter Time to Assessment and Anticoagulation with Decreased Mortality in Patients with Pulmonary Embolism Following Implementation of AI Software

Validation of a Deep Learning Tool for Automatic Pulmonary Embolism Detection

Deep Learning-based Automated Detection of Pulmonary Embolism

Exploratory validation of an AI-based pulmonary embolism detection tool: Bridging technology and clinical practice

A Deep Learning-Based Algorithm Improves Radiology Residents' Diagnoses of Acute PE on CT Pulmonary Angiograms

The Use of Artificial Intelligence Technology in the Detection and Treatment of Pulmonary Embolism at a Tertiary Referral Center

CINA-iPE

Contribution of an Artificial Intelligence Tool in the Detection of Incidental Pulmonary Embolism on Oncology Assessment Scans

Deep Learning-Based Algorithm for Automatic Detection of Incidental Pulmonary Embolism on Contrast-Enhanced CT

Performance Evaluation of an Artificial Intelligence (AI)-Based Algorithm for Incidental Findings of Pulmonary Embolism

CINA-AD

Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification

Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization

Algorithmic Performance Consistency Across Patient Demographics and Scanner Manufacturers

CINA-CAC

Evaluation of a Deep Learning-Driven Incidental Detection of Coronary Artery Calcium on Non-Gated CT Scans

CINA-VCF

Validation of a Deep Learning Tool for Detection of Incidental Vertebral Compression Fractures

Performance Evaluation of an AI-Based Application for Opportunistic Screening of Thoraco-Lumbar Vertebral Compression Fracture

Deep Learning-Driven Incidental Detection of Vertebral Fractures in Cancer Patients: Advancing Diagnostic Precision and Clinical Management

Performance Evaluation of an AI-Based Application for Opportunistic Screening of Thoraco-Lumbar Vertebral Compression Fracture

CINA-VCF Quantix

Automated Vertebral Compression Fracture Detection and Quantification on Opportunistic CT Scans

Improving Early Diagnosis of Osteoporotic Vertebral Compression Fractures: A Deep Learning-Based Approach Using CT Imaging

CINA-CSpine

Multicenter, Multinational, and Multivendor Validation of an Artificial Intelligence Application for Acute Cervical Spine Fracture Detection on CT

Diagnostic Accuracy of an AI-powered application for Automated Detection and Prioritisation of Cervical Spine Fractures

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