Can AI Help Reduce the Workload of 3D Mammography?
Description
This article explores a multicenter reader study published in Radiology: Artificial Intelligence, which evaluated whether Lunit INSIGHT® DBT could work alongside radiologists to support interpretation of tomosynthesis exams
3D mammography has advanced breast cancer screening. It has also changed the radiologist's workload.
Radiologists are now processing more information than ever before, and cognitive load is becoming harder to ignore.
A multicenter reader study published in Radiology: Artificial Intelligence explored whether Lunit INSIGHT® DBT could work alongside radiologists to support interpretation of tomosynthesis exams. Across 15 radiologists interpreting DBT examinations, the study evaluated both diagnostic accuracy and reading time.
Why has 3D mammography changed radiologists' workload?
3D mammography provides more information than ever before.
That means radiologists are processing more images, more information, and carrying more mental load throughout the day.
How was AI evaluated in the study?
A multicenter reader study evaluated the use of AI alongside radiologists interpreting DBT examinations.
Across 15 radiologists, researchers assessed both diagnostic accuracy and reading time to better understand the impact of AI assistance in clinical practice.
What impact did AI have on reading time?
One of the study findings was that Lunit INSIGHT® DBT reduced reading time by an average of six seconds per case while also improving diagnostic accuracy.
Six seconds might not sound like much.
But over the course of a day, those six seconds can add up to around 10 minutes.
And more importantly, it means less mental effort is required throughout the day. A small change in the moment, but one you'll notice at the end of your shift.
What do these findings mean?
The study suggests AI can help support radiologists as they interpret increasingly complex imaging exams.
By reducing reading time while improving diagnostic accuracy, AI may help lighten some of the workload that comes with modern breast screening.
Read the full study here: Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time - Lunit
FAQ
How many radiologists participated in the study?
The study evaluated 15 radiologists interpreting DBT examinations.
What did the study evaluate?
Researchers evaluated both diagnostic accuracy and reading time to understand the impact of AI assistance in clinical practice.
How much time did AI save?
Lunit INSIGHT® DBT reduced reading time by an average of six seconds per case.
Did AI improve diagnostic accuracy?
Yes. One of the study's findings was that Lunit INSIGHT® DBT reduced reading time while also improving diagnostic accuracy.
Why are six seconds important?
Six seconds might sound small on a single case, but those seconds can add up to around 10 minutes over the course of a day. More importantly, it means less mental effort is required throughout the day.
