An artificial intelligence for digital breast tomosynthesis enhances radiologists’ performance and efficiency.
The concurrent use of an artificial intelligence (AI) tool with digital breast tomosynthesis could improve the diagnostic performance of radiologists in the detection of breast cancer. This is according to a study presented at the Radiological Society of North America (RSNA) 2021 Annual Meeting that also found that the addition of AI improved the efficiency of radiologists’ workflow.
“This AI system can be integrated into screening practice to improve both efficiency and accuracy of digital breast tomosynthesis,” the authors wrote.
The results were presented by Pierre Fillard, Ph.D., the founder and chief scientific officer of Therapixel SA in Nice, France.