Canon Medical Systems Healthcare IT AI-Assisted Imaging The Research | Intelligent healthcare. Made possible.

Evolving AI for everyone

By collaborating with a range of leading academic, clinical and government institutions, we lead the way with smart, evidence-based solutions that have the power to change the game for diagnostic imaging. We’ve assembled research teams on both sides of the Atlantic to develop the next generation of AI-assisted imaging technologies.

Evolving AI for everyone

Zebra Medical

AI-Advantage in X-ray

HealthPNX & Pleural Effusion

  • Automatically assists in the clinical assessment of adult chest X-ray cases that involve possible pneumothorax
  • HL7 message can be sent to the PACS server, enabling worklist prioritization
  • Secondary capture indicating findings sent to PACS

ZEBRA AINSIGHT Triage Workflow

  • Reducing time to a quality read: Faster detection of acute findings
  • Safety net: Increasing confidence with an additional layer of intelligence
  • Efficiency in reporting: Reduced context switching
HealthPNX & Pleural Effusion | ZEBRA AINSIGHT Triage Workflow

RaySearch

AI in Radiation Oncology

Automated Segmentation

  • Organs are segmented automatically using a pre-trained Deep Learning model
  • Segments all structures in one minute
  • Output is standard geometries that can be manually adjusted if needed

Available Models

  • Pelvic Male (Iridium)
  • Thorax (RSL)
  • Under development models:
    Female Pelvis, Breast, Head and Neck
RaySearch: Automated Segmentation and Available Models

Glassbeam

Glassbeam Clinsights™ Solution

Glassbeam

  • Monitor, analyze and report on fleet-wide multimodality imaging systems
  • AI-based predictive service analytics models
  • Increased uptime with proactive alerts based on machine learning algorithms

Key Outcomes with Glassbeam

  • Reduced spend and more consistent planning in parts replacements budgets
  • Proactive and Predictive alerts to avoid unplanned downtimes
Glassbeam

Cleerly

AI-enabled Atherosclerosis Evaluation

Cleerly

  • Leveraging the latest in artificial intelligence, Cleerly Coronary is a clinical decision support tool that performance comprehensive sub-millimeter evaluation of the coronary arteries.
  • Cleerly Coronary analysis can provide precise quantification and characterization of the type of place within the coronary arteries

Auto-generated, Editable Reporting

  • Fully editable reports delivered to the clinician
  • Can be used to track disease progression over time
  • Interactive All-in-One Display graphically highlights areas of concern within the coronary arteries

1Min JK et al. J Am Coll Cardiol 2011; Chang HJ et al. J Am Coll Cardiol 2018; 2Lee SE et al. J Am Coll Cardiol CVI 2018; 3van
Rosendael et al. JAMA Cardiology 2020; 4SCOT-Heart Investigators, N Engl J Med 2018

Cleerly: Auto-generated, Editable Reporting

Our latest publications

Language Transfer for Early Warning of Epidemics from Social Media

Language Transfer for Early Warning of Epidemics from Social Media

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Conditioning Convolutional Segmentation Architectures with Non-Imaging Data

Conditioning Convolutional Segmentation Architectures with Non-Imaging Data

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Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans

Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans

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A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease

A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease

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Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data

Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data

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Artificial Intelligence: Oncology’s new secret weapon

Artificial Intelligence: Oncology’s new secret weapon

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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Authors: Motonori Akagi et al.
Journal: European Radiology
Published: 11/04/2019
Copyright: European Society of Radiology 2019

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European Society of Radiology 2019

Our research philosophy

Imagining the healthcare innovations of tomorrow requires the right environment today, which is why we empower our team to discover, test, and validate cutting-edge insights that answer the industry’s most challenging and pressing AI questions.

Our research philosophy

Our Research Partners

AI Center of Excellence, Edinburgh

AI Center of Excellence,
Edinburgh

Radboud University Medical Center

Radboud University
Medical Center

Institute of Bioimaging, University of Bordeaux

Institute of Bioimaging,
University of Bordeaux

Fujita Health University

Fujita Health
University

Hiroshima University

Hiroshima
University

Johns Hopkins University Science & Technology Park

Johns Hopkins University Science
& Technology Park