Advancing AI-Driven Cardiac Imaging at EACVI 2025
Join Canon for this year’s European Association of Cardiovascular Imaging’s Congress (EACVI 2025), held 11–13 December in Vienna (Austria), to discover the latest in cardiovascular care and AI-driven cardiovascular imaging, and meet the experts on echocardiography, CMR, nuclear cardiology, and cardiac CT.
Visit us at Booth #A100 to explore how our innovations powered by artificial intelligence (AI), are advancing cardiac imaging across ultrasound, CT, and MRI. From image enhancement to streamlined workflows and consistent decision support, engage with our specialists to learn how Canon can assist you in your daily practice.
Don’t miss our lunch symposium “From Improving IQ to Wider Access with AI,” on December 12 at 10:15–11:00 (Room CMR1). The experts brought together by the Canon Medical Academy will discuss how AI-driven innovations in ultrasound, CT, and MRI enhance image quality, streamline workflows, and make advanced, patient-centered cardiac imaging more efficient, accessible, and clinically impactful.
Visit us at Booth #A100 to explore how our innovations powered by artificial intelligence (AI), are advancing cardiac imaging across ultrasound, CT, and MRI. From image enhancement to streamlined workflows and consistent decision support, engage with our specialists to learn how Canon can assist you in your daily practice.
Don’t miss our lunch symposium “From Improving IQ to Wider Access with AI,” on December 12 at 10:15–11:00 (Room CMR1). The experts brought together by the Canon Medical Academy will discuss how AI-driven innovations in ultrasound, CT, and MRI enhance image quality, streamline workflows, and make advanced, patient-centered cardiac imaging more efficient, accessible, and clinically impactful.
Canon Medical Academy
From Improving IQ to Wider Access with AI
Speakers for Canon AI-driven cardiac imaging symposium at EACVI 2025 in Vienna
From Improving IQ to Wider Access with AI | Symposium
December 12, 10:15 am | Room CMR1
Mark your calendar and join Dr. Daniel Pierre Vezina, Prof. Carlos Eduardo Rochitte, and Prof. Joao A. C. Lima on December 12 for the “From Improving IQ to Wider Access with AI” lunch symposium.
During the session, you can learn how AI in cardiac ultrasound, CT, and CMR supports clinicians by augmenting human interpretation, automating key steps, and improving consistency in routine cardiovascular imaging.
Program
Mark your calendar and join Dr. Daniel Pierre Vezina, Prof. Carlos Eduardo Rochitte, and Prof. Joao A. C. Lima on December 12 for the “From Improving IQ to Wider Access with AI” lunch symposium.
During the session, you can learn how AI in cardiac ultrasound, CT, and CMR supports clinicians by augmenting human interpretation, automating key steps, and improving consistency in routine cardiovascular imaging.
Program
- AI in Cardiac Ultrasound: Augmented (Human) Intelligence | Dr. Daniel Pierre Vezina
- AI in CMR & CT | Prof. Carlos Eduardo Rochitte
- Live Q&A moderated by Prof. Joao A. C. Lima
- Understand how innovations, including AI, can enhance cardiac imaging to support faster, more accurate, and confident clinical decision-making.
- Explore how AI-driven tools can help improve workflow efficiency and expand access to high-quality, patient-centered cardiac care.
Speaker and Moderator Information
Moderator: Prof. Joao A. C. Lima, MD, MBA Director of Cardiovascular Imaging, Professor of Medicine
The Johns Hopkins Hospital
Baltimore, USA
The Johns Hopkins Hospital
Baltimore, USA
Speaker:
Dr. Daniel Pierre Vezina, MD, MSc, FRCPC
Associate Professor of Internal Medicine, Division of Cardiology (ret.) / Associate
Professor of Anesthesiology, Division of Cardiovascular Anesthesiology (ret.) / Director,
Echocardiography Laboratory (ret.) / CEO at Guardsman Scientific
University of Utah Hospital / Guardsman Scientific
Park City, UT, USA
Presentation: AI in Cardiac Ultrasound: Augmented (Human) Intelligence
As a subset of machine learning, deep learning models utilize multi-layered neural networks for complex tasks, such as image recognition. The data generated by cardiac ultrasound is well-suited for such deeper analysis.
The primary driver for quality AI tools is the technical and clinical quality of the data analyzed. The value of using AI tools is related to possible workflow efficiencies. Augmenting human performance should be at the center of assessing AI tools.
Professor of Anesthesiology, Division of Cardiovascular Anesthesiology (ret.) / Director,
Echocardiography Laboratory (ret.) / CEO at Guardsman Scientific
University of Utah Hospital / Guardsman Scientific
Park City, UT, USA
Presentation: AI in Cardiac Ultrasound: Augmented (Human) Intelligence
As a subset of machine learning, deep learning models utilize multi-layered neural networks for complex tasks, such as image recognition. The data generated by cardiac ultrasound is well-suited for such deeper analysis.
The primary driver for quality AI tools is the technical and clinical quality of the data analyzed. The value of using AI tools is related to possible workflow efficiencies. Augmenting human performance should be at the center of assessing AI tools.
Speaker:
Prof. Carlos Eduardo Rochitte, MD, PhD
Associate Prof. of Cardiology & Scientific Committee CMO / Director of Cardiovascular MR and CT
Heart Institute, InCor, University of São Paulo Medical School & HCOR
São Paulo, Brazil
Presentation: AI in CMR & CT
This presentation will demonstrate how artificial intelligence (AI) is reshaping cardiac imaging. It will highlight how AI enhances image quality, automates analysis, and streamlines workflows in both MRI and CT.
Attendees will see how these tools have the potential to improve diagnostic accuracy, reduce inter-reader and inter-operator variability, and make advanced cardiovascular imaging more accessible. This has the potential to, ultimately, bring faster, more precise, and patient-centered cardiac care into everyday practice.
Heart Institute, InCor, University of São Paulo Medical School & HCOR
São Paulo, Brazil
Presentation: AI in CMR & CT
This presentation will demonstrate how artificial intelligence (AI) is reshaping cardiac imaging. It will highlight how AI enhances image quality, automates analysis, and streamlines workflows in both MRI and CT.
Attendees will see how these tools have the potential to improve diagnostic accuracy, reduce inter-reader and inter-operator variability, and make advanced cardiovascular imaging more accessible. This has the potential to, ultimately, bring faster, more precise, and patient-centered cardiac care into everyday practice.
Discover More About the Speaker
Discover More About the Moderator and Speakers
Moderator: Prof. Joao A. C. Lima, MD, MBADr. Joao Lima is a professor of medicine, radiology, and epidemiology at Johns Hopkins University. A pioneer in cardiac imaging, he developed advanced MRI, CT, and echocardiography techniques for non-invasive assessment of cardiovascular disease and treatment outcomes. He holds multiple patents in cardiac imaging and image-guided therapy.
Originally from Brazil, Prof. Lima trained and later joined the Johns Hopkins faculty in 1992. A leading investigator in the Multi-Ethnic Study of Atherosclerosis (MESA), he has authored over 575 publications and serves as associate editor of the Journal of the American College of Cardiology and reviewer for top medical journals.
Speaker: Dr. Daniel Pierre Vezina, MD, MSc, FRCPC Over the past 25 years, Dr. Vezina has held U.S.-based academic appointments and served as medical director in prominent programs in Cardiovascular Medicine and Anesthesiology. In addition, he has served as a general partner, founder, senior manager, board member, and health policy consultant.
His work includes the development and commercialization of innovative clinical and advanced big data analytics solutions for congestive heart failure, fluid management, and cardiac monitoring. Dr. Vezina possesses a distinctive expertise in the complex and evolving global healthcare landscape.
Speaker: Prof. Carlos Eduardo Rochitte, MD, PhD Cardiology faculty member, currently working in the Cardiovascular MRI and CT Section at Heart Institute (InCor), University of São Paulo Medical School (São Paulo, Brazil). Prof. Rochitte is the CMR and CCT fellowship program coordinator at InCor, and associate professor of the Cardiopneumology Department of the University of São Paulo (FMUSP). He is also Director of Cardiovascular MR and CT Section at Heart Hospital (HCOR), São Paulo (Brazil).
Prof. Rochitte completed a postdoctoral fellowship (1995–1999) in cardiovascular MRI at Johns Hopkins Hospital, Baltimore, MD, and pioneered the use of late gadolinium enhancement (LGE) in four specific non-ischemic cardiomyopathies: Chagas disease, Duchenne and Becker muscular dystrophy, aortic valve disease, and endomyocardial fibrosis.
Immediate Past President of the Cardiovascular Imaging Department of the Brazilian Society of Cardiology and Editor-in-Chief of Arquivos Brasileiros de Cardiologia (ABC Cardiol), and a member of the Executive Committee of Society for Cardiovascular Magnetic Resonance (SCMR), serving as Secretary-Treasurer.
Due to medical device regulatory reasons, not all products/services displayed on this Canon Medical Systems webpage are available in all countries or markets. Future availability of the products/service cannot also be guaranteed. Don't hesitate to contact your local Canon Medical Systems representative for further details.
