RSNA 2021 Artificial Intelligence Preview

AI model shows promise in detecting lesions from DBT data

By Amerigo Allegretto, staff writer

Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-3 | Room TBA
In this talk, researchers will discuss an artificial intelligence (AI) algorithm that detects lesions using datasets from digital breast tomosynthesis (DBT) exams.

Dr. Julia Goldberg from New York University will present findings from her team's study with the AI algorithm, which analyzed over 11,000 DBT exams. All DBT exams were acquired with the Selenia Dimensions system (Hologic).

The team touted the system as ranking first in the DBTex Challenge by achieving the highest scores on the test set. The challenge was conducted earlier this year by the American Association of Physicists in Medicine, SPIE, and the U.S. National Cancer Institute.

"Our model can output the slice where the lesion is most clearly visible," the researchers said.

How did the model perform and how much sensitivity did it show? Find out more at Goldberg's presentation.

Last Updated np 11/9/2021 6:26:29 PM