Discover our Clinical Publications

Avicenna.AI is dedicated to pushing boundaries of healthcare through Clinical publications to share the value of AI-tools in Radiology. Delve into our varied clinical publications, spanning validation studies and performance assessment.

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CINA-ICH

Performance of an AI-based automated identification of intracranial hemorrhage in real clinical practice

This study aims to assess the generalizability of a commercially available deep learning-based tool, CINA v1.0 device, in detecting ICH across 41 unique hospital systems and 4 unique vendors.

Performance of an AI-based automated identification of intracranial hemorrhage in real clinical practice

Ayobi A, Quenet S, Scudeler M, Marx M, Chaibi Y, Bani-Sadr A, Cotton

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

The aim of this study was to validate a commercially available deep learning-based tool in the detection of both ICH and LVO across multiple hospital sites and vendors throughout the U.S.

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

McLouth J, Elstrott S, Chaibi Y, Quenet S, Chang P, Chow D, Soun J.

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage

This study aimed to assess the ability of Canon's AUTOStroke Solution ICH detection algorithm to accurately identify patients both with and without ICHs present.

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage

Rava RA, Seymour SE, LaQue ME, Peterson BA, et al.

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

We aimed to assess the ability of Canon’s AUTOStroke Solution LVO application in properly detecting and locating LVOs in AIS patients.

Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients

Rava RA, Peterson BA, Seymour SE, Snyder KV, Mokin M, Waqas M, Hoi Y, Davies JM, Levy EI, Siddiqui AH, Ionita CN

Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center

The purpose of this study is to compare and validate the performance of two AI-based tools (RAPID LVO and CINA LVO) for LVO detection.

Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center

Schlossman N, Jacob, RO, Daniel, Salehi, Shirin, et al

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

A retrospective, multicenter, multinational, multivendor and blinded study was conducted to evaluate the standalone performance of CINA-ASPECTS.

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

Ayobi A, Chang P, Chow D, Filippi C, Quenet S, Tassy M, Chaibi Y.

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

The objective of this study was to validate the performance of CINA-PE in detecting suspected PEs on CTAs.

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

Grenier PA, Ayobi A, Quenet S, Tassy M, Marx M, Chow DS, Weinberg BD, Chang PD, Chaibi Y

Validation Of A Deep Learning Tool For Automatic Pulmonary Embolism Detection

This study aims to assess the commercially available and CE-marked deep learning-based tool, CINA CHEST, in detecting PE across data inputs from 5 CT vendors.

Validation Of A Deep Learning Tool For Automatic Pulmonary Embolism Detection

J. Schlossman, S. Salehi, B. Weinberg, D. Chow, M. Tassy, S. Quenet, A. Ayobi, Y. Chaibi, P. Chang.

Discover our Clinical Publications

CINA-ICH

Performance of an AI-based automated identification of intracranial hemorrhage in real clinical practice

Performance of an AI-based automated identification of intracranial hemorrhage in real clinical practice

CINA-ICH / CINA-LVO

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

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

CINA-ICH

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage

CINA-LVO

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

Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients

CINA-LVO

Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center

Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center

CINA-ASPECTS

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

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

CINA-PE

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

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

Validation Of A Deep Learning Tool For Automatic Pulmonary Embolism Detection

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