AI: A catalyst or inhibitor for health equity in Radiology?

Navigating challenges and opportunities, when using AI for advancing health equity

Time zone 1: Sept 3, 2024 | 19:00-20:00 (CEST) / 13:00-14:00 (EDT)
Time zone 2: Sept 10, 2024 | 17:00-18:00 (SGT) / 19:00-20:00 (AEST)
Missed our exciting webinar? The on-demand recording is now available!

Cookies: We are sorry we can’t show you this video – as matter of your Cookies preferences. Accept here the Targeting Cookies to watch the video content.

Subscribe to watch the full video More information on speakers

Summary

The use of Artificial Intelligence (AI) in healthcare, particularly in medical imaging is growing at an exponential rate. However, social and economic barriers to health are also increasing, impeding equal opportunities for everyone to achieve optimal health. Three key factors are crucial for promoting health equity: quality of care, access and cost efficiency. While AI in radiology presents numerous opportunities, it also brings challenges. Responsible implementation of AI may help us to navigate through obstacles and level the ground for healthcare provision. This webinar will delve into the dual nature of AI through the lens of healthcare equity. Panelists will explore AI as both a catalyst and inhibitor for healthcare equity and offer practical strategies to bridge gaps medical imaging and healthcare overall.

Learning Objectives

  1. Identify challenges and opportunities behind the use of AI for advancing health equity.
  2. Learn about the role of radiologists in mitigating disparities in healthcare.
  3. Define practical ways of navigating challenges and opportunities when implementing AI in radiology to minimize health disparities.
Join us for a roundtable discussion with leading clinical experts and explore how radiologists could leverage AI to advance health equity.

Moderator

Dr. Rasu Shrestha

Chief Innovation and Commercialization Officer,
Executive Vice President,
Advocate Health, Charlotte, North Carolina, USA

Panelist

Prof. Maija Radzina

Associate Professor
Pauls Stradiņš
Clinical University Hospital,
Riga, Latvia
European Society of Radiology, Executive Council member

Panelist

Prof. Reza Forghani

Professor of Radiology and
Vice Chair of AI
University of Florida College of Medicine,
Gainesville, FL, USA

For more information on speakers

You might also be interested in

Perspectives webinar: The Value-Based Radiologist

Future of Radiology Made Possible

Manage in Motion

For more information on Altivity and Canon Medical Systems’ AI solutions, please visit here.

Watch more Canon webinars

Disclaimers

  • The opinions expressed in this material are solely those of the presenter and not necessarily those of Canon Medical Systems. Canon Medical Systems does not guarantee the accuracy or reliability of the information provided herein.
  • The clinical results, performance and views described in this video/webinar are the experience of the clinician. Results may vary due to clinical setting, patient presentation and other factors. Many factors could cause the actual results and performance of Canon Medical’s products to be materially different from any of the aforementioned.
  • Some products shown might not be available in all regulatory jurisdictions, please consult with your local Canon sales office for availability in your region.

Contact Us