Researchers from Oak Ridge National Laboratory (ORNL) in Oak Ridge, TN, have used artificial intelligence (AI) technology to analyze how radiologists read mammograms, according to research published in the July issue of the Journal of Medical Imaging.
Mammography interpretation is subject to context bias, or a radiologist’s previous diagnostic experiences, wrote senior author Georgia Tourassi, PhD, and colleagues. They used an artificial intelligence tool to assess the level of bias in radiologist mammography interpretations (J Med Imaging, July 2018, Vol. 5:3, 031408).
The group tracked the eye movements of three board-certified radiologists and seven radiology residents who analyzed 100 studies taken from the University of South Florida’s Digital Database for Screening Mammography (DDSM). The 400 images included a mix of cancer, no cancer, and findings that appeared to be cancer but were benign… Continue reading.
WASHINGTON, D.C.— The American Institute for Medical and Biological Engineering (AIMBE) has announced the pending induction of Georgia D. Tourassi, Ph.D., Director, Health Data Sciences Institute Director, Biomedical Sciences and Engineering Center, Computational Sciences and Engineering Division, Oak Ridge National Laboratory, to its College of Fellows. Dr. Tourassi was nominated, reviewed, and elected by peers and members of the College of Fellows For substantial contributions to the use of novel neural networks in computer-aided diagnosis and the retrieval of similar images.