Discover our Clinical Publications

Welcome to our clinical publications repository, where we showcase the evidence supporting the impact of Avicenna.AI’s advanced solutions in healthcare. These studies demonstrate our commitment to clinical excellence and highlight how our technology empowers healthcare professionals to deliver faster, more accurate diagnoses and improve patient outcomes. Dive into our publications and explore how our CINA portfolio is improving radiology.

PERFORMANCE

CINA-ICH

Refining Deep Learning Application Diagnostic Accuracy in Intracerebral Hemorrhage (ICH): Focus on Subtle Hemorrhage Detection

CINA-ICH

Refining Deep Learning Application Diagnostic Accuracy in Intracerebral Hemorrhage (ICH): Focus on Subtle Hemorrhage Detection

CINA-LVO

Duration and accuracy of automated stroke CT workflow with AI-supported intracranial large vessel occlusion detection

CINA-LVO

Head-To-Head Comparison Of Commercial Artificial Intelligence Solutions For Detection Of Large Vessel Occlusion At A Comprehensive Stroke Center

CINA-ASPECTS

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

CINA-LVO

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

CINA-ASPECTS

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

CINA-LVO

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

CINA-ICH, CINA-LVO, CINA-ASPECTS

Performance of an AI-based automated identification of ischemic and hemorrhagic stroke in clinical routine

CINA-ICH, CINA-LVO, CINA-ASPECTS

Performance of an artificial intelligence tool for multi-step acute stroke imaging: A multicenter diagnostic study

CINA-ICH, CINA-LVO

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

CINA-pe

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

CINA-pe

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

CINA-PE

Validation of a Deep Learning Tool for Automatic Pulmonary Embolism Detection

CINA-Ipe

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

CINA-AD

Algorithmic Performance Consistency Across Patient Demographics and Scanner Manufacturers

CINA-AD

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

CINA-VCF

Performance evaluation of an AI-based application for opportunistic screening of thoraco-lumbar vertebral compression fracture

CINA-VCF

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: A performance evaluation

CINA-CSpine

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

CINA-iPE

Deep learning-based algorithm for automatic detection of incidental pulmonary embolism on contrast-enhanced CT

CINA-CAC

Evaluation of a Deep Learning-driven Incidental Detection of Coronary Artery Calcium on Non-gated CT Scans

CLINICAL BENEFITS

CINA-ICH

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage

CINA-ASPECTS

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

CINA-PE

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

CINA-PE

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

CINA-PE

A deep learning-based algorithm improves radiology residents' diagnoses of acute PE on CT pulmonary angiograms

CINA-IPE

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

CINA-AD

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

CINA-VCF

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

CINA-VCF Quantix

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

REVIEW

CINA-ICH, CINA-LVO, CINA-ASPECTS

Artificial Intelligence and Acute Stroke Imaging

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opportunistic findings