The most important role of the radiologist is to detect breast cancer at an early stage, before it’s spread to the rest of the body because that can result in a woman dying of breast cancer. Mammograms acquired through population-based breast cancer screening programs produce a significant workload for radiologists.
In this program we learn more about “AI Technology” within early detection of breast cancer, as well as it’s related impact for radiologists within reduced workload and improved efficiency.
We have a tremendous backlog, and so using technology to help improve our efficiency and accuracy will be an amazing tool to help reduce this backlog. And so, I think this is probably the opportunity that we have right now to address it.
~Dr. Jean Seely
I’m excited to see how AI is going to advance mammography, as well. So, I think we’ve made a lot of advances over the last 20 years, so I’m encouraged by all of that.
The purpose of AI really is to help the radiologist, not to replace the radiologist. And that’s the way that it’s employed right now. It helps it in the hidden way where it’s improving the images, so the radiologists don’t overlook it.
To learn more about AI Screening within Breast Cancer Detection please speak with your healthcare provider or visit the website below.
This educational program was made possible through the support of Hologic
Dr. Jean Seely
Professor of Radiology, University of Ottawa
President of the Canadian Society of Breast Imaging (CSBI)
Head, Hospital of Ottawa, Breast Imaging Section
Breast Cancer Support Fund
VP R&D Hologic