AI: A Catalyst or Inhibitor for Health Equity in Radiology?
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.
Speaker
Dr. Rasu Shrestha
Chief Innovation and Commercialization Officer, Executive Vice President
Advocate Health, Charlotte, North Carolina, USA
Prof. Maija Radzina
Associate Professor, European Society of Radiology, Executive Council member
Pauls Stradiņš Clinical University Hospital, Riga, Latvia
Prof. Reza Forghani
Professor of Radiology and Vice Chair of AI
University of Florida College of Medicine, Gainesville, FL, USACourse Information
By the end of this session, delegates will
- Identify challenges and opportunities behind the use of AI for advancing health equity.
- Learn about the role of radiologists in mitigating disparities in healthcare.
- Define practical ways of navigating challenges and opportunities when implementing AI in radiology to minimize health disparities.
This educational talk was created in September 2024. All information contained in this session was correct at the time of distribution.
Disclaimer: Appearing on the Medical Imaging Academy does not represent a commercial partnership or interest from the speaker. The views herein do not represent the views of Canon Medical Systems Ltd.
