Artificial Intelligence in Medical Imaging: What, How, and Why?

Pamela Habib, MD, Head of Commercial Development, Bayer Digital Solutions
Aaron Sullivan, Head of Business Development, Bayer Digital Solutions

Sponsored by: Bayer

Over the past few years, the field of AI in medical imaging has undergone a rapid but steady transformation. AI can now achieve things in radiology that few people thought possible a mere decade ago. The field is also gradually overcoming one of its most significant perceived hurdles - regulatory approval. In addition, while fear and skepticism dominated radiologists’ perception of the future of AI in their specialty a few years ago, this is no longer the case. AI-based solutions in medical imaging could improve and accelerate the detection of disease, generate in-depth risk assessment of disease development and progression, and may reduce subjectivity in the interpretation of medical imaging data. Learn more about AI in Medical Imaging, the what, how, and why in this session.

In this webinar, attendees will learn how to:

• Understand the current state of AI in medical imaging, before, during, and after image acquisition
• Learn about funding, adoption, and regulatory landscape
• Gain insight into the future steps & challenges of AI in medical imaging

Note: No CE credit is available for this archived webinar