Real-World Application of AI
Contents
- Expert Perspectives on AI
- Real-World Applications of AI - Early Clinical Experience in Acute Chest Pain CT, Cardiac CTA, and MR Body Imaging
- Altivity, Intelligent Healthcare Made Easy
- Maximizing the Potential of AI in Clinical Medicine
- Exploring the Potential of AI for Clinical Practice
- Transforming for the Future
- Advanced Healthcare in a Relaxed Atmosphere
- Deep Learning Spectral Confidently Protecting Kidney Health
- Advanced intelligent Clear-IQ Engine in Clinical Practice
- Accessing Super High Resolution Without Compromise
- Objective Echocardiography with Superior Reproducibility Based on Artificial Intelligence Technology
- Usefulness of Diagnostic Ultrasound Systems Using Al Technology in the Field of Cardiovascular Medicine
- Further Improvements in AI Technologies to Expand the Clinical Utilization of 3D Echocardiography
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.
Altivity, Intelligent Healthcare Made Easy
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.
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).
Deep Learning Spectral Confi dently Protecting Kidney Health
To optimize visualization 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%.
Figure 1: AiCE algorithm training and implementation.
Advanced intelligent Clear-IQ Engine in Clinical Practice
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.
Objective Echocardiography with Superior Reproducibility Based on Artificial Intelligence Technology
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 personalized treatment of the patients.
- 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.
Usefulness of Diagnostic Ultrasound Systems Using Al Technology in the Field of Cardiovascular Medicine
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
Further Improvements in AI Technologies to Expand the Clinical Utilization of 3D Echocardiography
Yoshihiro Seo, MD - Professor and Director, Department of Cardiology, Nagoya City University Hospital, Aichi, Japan
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