Thigh Mass

Emerging breast ultrasound research showed the use of computer-aided diagnosis (CAD), powered by deep learning, led to 24 percent and 36.9 percent improvements in accuracy and specificity, respectively, in the use of BI-RADS classifications by radiologists without breast ultrasound expertise.

KA Imaging President and Chief Executive Officer Amol Karnick and Chief Technology Officer Karim S. Karim, Ph.D., offer insights into current X-ray imaging trends, as well as opportunities for innovation.

African American and Asian-Chinese women have a disproportionately higher prevalence of fibroids, according to newly published transvaginal ultrasound findings in a diverse population of nearly 1,000 women.

In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.

Adjunctive use of an artificial intelligence (AI) software demonstrated nearly equivalent sensitivity and over 28 percent higher accuracy in comparison to radiologist assessment of breast ultrasound images for breast lesions, according to new research presented at the recent Society of Breast Imaging (SBI) conference.

Review the case study and test your knowledge to make the correct diagnosis.