AI and the Breast Health Journey
In this 5-part Breast Health Series, we explore the challenges related to breast cancer screening and the role AI can play in early detection. In our previous breast health interview series with Dr. Amy Patel, she shared her thoughts on the use of AI in managing breast health and as a tool for the early detection of cancer.
Breast Health Series
Part 1: The Breast Density Dilemma
Part 2: The Limits of Mammography
Part 3: Will AI become a standard of care in managing breast health?
When dealing with breast cancer, early detection is the key to achieving the best outcome for patients. Traditional screening methods have limitations even when patients undergo routine mammograms. AI advancements are opening new paths to more efficient breast screenings and alternative secondary screening options. In part 3 of our Breast Health Series, we take a closer look at AI and ask the question… will AI become a standard in breast care?
One of the primary benefits of using AI in the radiology space is that both screening and classification are done significantly faster. This allows radiologists to work more efficiently as they scan numerous images daily. It’s estimated that the absolute number of imaging studies has doubled since 2004. AI can help radiologists manage the growing workload.
Consider 3D mammograms, which take a series of scans to produce a 3D image of the breast, increasing the number of scans needed to be reviewed by a radiologist. AI can help process these scans and can offer a more thorough reading in less time than a conventional 2D mammogram.
In dealing with either 2D or 3D mammograms, a recent study indicates there is great potential for AI to reduce the reading volume of radiologists by selecting negative examinations.
Removing negative scans can help reduce the workload on radiologists, giving them more time to review and assess the remaining scans. A related study shows that in addition to reducing radiologist workload by over three-fifths, the rate of false positives is reduced by 25% with the help of AI.
The FDA recently approved a wearable breast ultrasound device that will improve access to 3D ultrasound as images can be taken at the point of care, without requiring an ultrasound operator. AI is essential to many advancements in alternative breast screening technologies, with breast ultrasound offering a variety of uses in the breast imaging space.
That brings Part 3 of the Breast Health Series to a close. Join us next week as we explore breast health implications in men and transgender individuals.
Alex uy
Alex is a recent UC San Diego graduate with a degree in economics and communications. His focus is digital marketing, and he has a passion for technology driven healthcare solutions.