Quantitative Insights will be an exhibitor at the Machine Learning Showcase at the 104th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA). RSNA 2018 will be held at McCormick Place in Chicago from November 25th to 30th.
Dr. Maryellen Giger, Quantitative Insights co-founder, was awarded the iCON Innovator Award by the Illinois Biotechnology Innovation Organization (iBIO). The award recognizes an active researcher or scientist within the ranks of life sciences education who is acknowledged by his or her peers as a leader in the contemporary teaching of, and scholarship in, biotechnology and its related sciences.
Drs. Maryellen Giger and Gillian Newstead were selected as the inaugural fellows for the Society of Breast MRI (SBMR). The goal of the SBMR is to advance breast MRI through education, training and quality standards as well as promoting research and public awareness.
Quantitative Insights founder Maryellen Giger is featured in the most recent issue of Physics Today, the membership magazine of the American Institute of Physics.
Quantitative Insights co-founder Maryellen Giger, Ph.D., recently published an article titled “Machine Learning in Medical Imaging” in the Journal of the American College of Radiology.
Quantitative Insights, Inc. (QI) today announced that it has received regulatory clearance (via De Novo classification) from the U.S. Food and Drug Administration (FDA) for its QuantX™ Advanced system, the industry’s first computer-aided diagnosis platform incorporating machine learning for the evaluation of breast abnormalities.
Quantitative Insights, Inc. (QI) today announced that it has received clearance from the U.S. Food and Drug Administration (FDA) for its QuantX SE™ system, a quantitative imaging based analysis platform for the evaluation of breast lesions.
A total of 19 readers completed the study which measured the effectiveness of the QuantX™ system in the task of distinguishing between cancerous and non-cancerous breast lesions. In this study, the QuantX system achieved the primary endpoint of a statistically significant increase in radiologist’s performance. When QuantX was used in image interpretation, AUC increased from 0.7055 to 0.7575 (p=0.0408), compared to interpretation using tools available in existing commercial systems. Mean sensitivity increased from 90.4% to 94.2%.