Customer’s Voice

Exploring the Potential of AI for Clinical Practice

Dr. Anton Meijer, Neuroradiologist, and Dr. Ruud Becks, Radiologist, the Radboudumc Nijmegen, the Netherlands.

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Neurology

Leveraging Additional Layers of Intelligence

Stijn Bollen, Radiologist, and Melissa van den Bos, Medical Physicist Expert, the Groene Hart Ziekenhuis (GHZ) Gouda, the Netherlands

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Neurology

Boosting Acute Stroke Care Through AI- Supported Technology

Professor Yoshiyuki Watanabe of the Department of Radiology, Shiga University of Medical Science, Japan.

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Neurology

Webinar Report

Advancing Stroke Triage with Artificial Intelligence

Dr. Peter Chang, Co-Director of University of California at Irvine (UCI) Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), Irvine, California, USA

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Neurology

AUTOEmergency – Stroke CT Package Used in Clinical Practice at Gates Vascular Institute (GVI)

Dr. Kenneth V. Snyder MD, PhD, FAANS Sciences; Gates Vascular Institute, Jacobs Institute, Buffalo, NY, USA

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Neurology

Strengths and Limitations of AI-Based CT Processing, Where are We now?

Prof. Stefan M. Niehues, MD, MHBA, Senior physician in the Department of Radiology at Charité – University Hospital in Berlin, Germany

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Chest

Partner Testimonial

Dr. Peter Chang, Co-Director of University of California at Irvine (UCI) Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), Irvine, California, USA

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Dr. Kenneth Snyder, MD, PhD, FACS, FAANS; Associate Professor of Neurosurgery at SUNY Buffalo School of Medicine & Biomedical Sciences; Gates Vascular Institute, Jacobs Institute, Buffalo, NY, USA

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Neurology

Latest Technology for Shorter Treatment Initiation Times and Faster Brain Tissue Evaluation in Acute Stroke Patients

Dr. Hiroyuki Kawano, Kyorin University Hospital, Japan

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Neurology

Scientific Papers

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage
(2021)

ICH

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Validation of an Artificial Intelligence-Driven Large Vessel Occlusion Detection Algorithm for Acute Ischemic Stroke Patients
(2021)

LVO

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Enhancing performance of a computed tomography perfusion software for improved prediction of final infarct volume in acute ischemic stroke patients
(2021)

CTP

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Assessment of a Bayesian Vitrea CT Perfusion Analysis to Predict Final Infarct and Penumbra Volumes in Patients with Acute Ischemic Stroke: A Comparison with RAPID
(2020)

CTP

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Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID
(2020)

CTP

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Effect of computed tomography perfusion post-processing algorithms on optimal threshold selection for final infarct volume prediction
(2020)

CTP

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Scientific Evidence

Emergency department triage: Artificial Intelligence’s gateway to radiology

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Neurology

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