Expert Perspectives on AI

“AI technologies that are successful require the least interaction. At the moment, a lot of radiology departments are trying out AI and are attempting to figure out which applications work well.
Professor Mathias Prokop, MD, PhD

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Real-World Applications of AI
Early Clinical Experience in Acute Chest Pain CT, Cardiac CTA, and MR Body Imaging

Professor Stefan M. Niehues, MD, MHBA, Professor Mickaël Ohana, MD, PhD, Dr. Benoît Sauer, MD
Specialists across the world have welcomed Canon Medical’s growing portfolio of Deep Learning Reconstruction (DLR) technologies into their daily practice. Three leading radiologists share their experiences on the performance of real-world applications already available via Canon Medical’s Altivity.

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Prof. Mathias Prokop, MD, PhD, Dr. Zhou Yu, PhD, Dr. Anton Meijer, MD, PhD
Canon Medical works in close collaboration with some of the world’s leading experts in all modalities to develop relevant technologies. Innovations in Artificial Intelligence (AI) have become a key focus in this in recent years. The Satellite Lunch Symposium held at ECR 2022 provided some important insights into how the progress that Canon Medical Systems has made in Deep Learning is already of benefit in clinical practice.

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Maximising the Potential of AI in Clinical Medicine

“Deployed effectively, AI can free-up healthcare professionals to spend more time with patients and create more time for non-routine work that demands their experience and skill.”
Dr. Ken Sutherland, President of Canon Medical Research Europe.

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Exploring the Potential of AI for Clinical Practice

“We anticipate a faster and improved workflow in acute stroke imaging with the Automation Platform, as well as support for the radiologist in making the correct diagnosis and to aid the clinicians in treatment decision-making.”
Dr. Anton Meijer, Neuroradiologist, Radboudumc.

Transforming for the Future

“The Canon CT scanners improves the accuracy and efficiency of our interventional procedures.”
Dr. Philippe Grandjean – Head of the Medical Imaging Department, The CHU UCL Namur, site Dinant, Belgium.

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Advanced Healthcare in a Relaxed Atmosphere

“Certain pathology can now be more easily visualised, whereas it was previously out of focus or not visible.”
Dr. Jurgen Vanslembrouck, Radiologist, Open MRI Zen. Specialisations: General Radiology with a special focus on abdominal, neuro and mammo under MRI and ultrasound.

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To optimise visualisation of the limited iodine contrast allowed for patients at risk of contrast-induced nephropathy, we use a Deep Learning Spectral acquisition protocol that provides the ability to enhance iodine conspicuity at low keV range (35-60 keV). Deep Learning Spectral CTA achieves excellent image quality for vascular studies while confi dently reducing iodine contrast load by up to 60%.

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Virtual monochromatic images generated at 75 keV demonstrate suboptimal vascular opacification for evaluation of the aorta due to both reduction in iodine concentration and amount of iodine used for this patient. However, the spectral images at 40 keV show excellent improvement in vascular contrast enhancement, particularly within the patent false lumen of this Stanford type B dissection. 3D Global Illumination rendering (GIR) images at 40 keV clearly demonstrate a stable type B dissection (arrow).
Figure 1: AiCE algorithm training and implementation.
Parkway Radiology is a leading radiology and imaging provider in Singapore located at Mount Elizabeth Hospital, Mount Elizabeth Novena Hospital, Gleneagles Hospital and Parkway East Hospital. For more than 30 years, they have been synonymous with exceptional radiology services, delivering solutions to numerous healthcare providers in the country.
Dr. John Hoe and Dr. Colin Tan outline their experiences with Canon’s Advanced intelligent Clear-IQ Engine (AiCE) in this white paper originally presented at SGCR Wires conference in September 2022.
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Figure 1: AiCE algorithm training and implementation.

Accessing Super High Resolution Without Compromise

“We're looking forward applying PIQE in 3D sequences and for low resolution sequences, such as diffusion imaging”
Julien Savatovsky, MD Deputy head of Diagnostic Neuroradiology at the Rothschild Foundation Hospital, Paris, France

Precise IQ Engine (PIQE) - a new solution developed to increase image sharpness and gain in diagnostic confi dence.

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Aplio i-series / Prism Edition provides powerful imaging with a whole spectrum of flexible, AI-assisted productivity functions powered by Altivity, Canon Medical's new AI brand. The smart, AI-driven algorithms allow clinicians to create simple and streamlined workflows to deliver fast, accurate results, and a more personalised treatment of the patients.

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* Deep Learning technology is used in the design stage of the system. The system itself does not have self-learning capabilities.
* The availability of AI-enabled functions depends on the regulatory requirements of each country.

Kazuaki Wakami, MD - Assistant Professor, Department of Cardiology, Nagoya City University Hospital, Aichi, Japan
Shohei Kikuchi, MD - Assistant Professor, Central Clinical Laboratory, Department of Cardiology, Nagoya City University Hospital, Aichi, Japan

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Yoshihiro Seo, MD - Professor and Director, Department of Cardiology, Nagoya City University Hospital, Aichi, Japan

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