September 23, 2024
North America: 1:00pm ET / 10:00am PT
Europe: 7:00pm CET / 6:00pm GMT
Session Description
There’s a lot to learn when it comes to artificial intelligence in veterinary diagnostic imaging. Join this free 1-hour CE webinar for a brief history of radiology and an introduction to machine learning. This will be followed by examples of successes in artificial intelligence and image reading, as well as examples and reasons for why some interpretations fall short.
Attend this webinar to:
- Get an introduction to machine learning and how a system is trained for image interpretation
- Learn about correct case selection and the abilities of artificial intelligence systems
- Understand the limitations and errors in AI imaging reports
Diane Wilson:
Dr. Wilson was awarded her DVM degree from Tuskegee University and her DACVR status after her residency at Auburn University. As Senior Director of Research and Development, she focuses on machine learning (ML). Dr. Wilson places the utmost importance on ensuring that technological advancements, like ML, are developed with patient care as the pinnacle. She is excited to take part in advancing the radiology profession into the next phase.
Lenore Mohammadian:
Dr. Mohammadian completed her residency in Diagnostic Radiology and a Master’s in Specialized Veterinary Medicine from North Carolina State University and received her DVM degree from Cornell University. She completed a rotating internship in a small animal medicine and surgery at the Emergency Animal Hospital and Referral Center in San Diego. Dr. Mohammadian enjoys the art of veterinary medicine, and she found her passion for radiology. Her special interests are in cancer imaging and minimally invasive biopsy techniques.
This program has been submitted (but is not yet approved) for 1 hour of continuing education credit in jurisdictions which recognize RACE approval. NOTE: If the program is approved for CE credit, you must watch the webinar LIVE to earn the CE credit.
