Third-year interventional radiology integrated resident Abin Sajan, MD, was selected for 2024 Abstract of the Year by the Society of Interventional Radiology (SIR).
Computer scientist Despina Kontos, professor of radiology, will lead Columbia's new Center for Innovation in Imaging Biomarkers and Integrated Diagnostics.
In a new, NIH-funded study, researchers at Columbia University Irving Medical Center will assess the competing effects of fitness and head impacts on the brain.
This Breast Cancer Awareness Month, we talked to Dr. Richard Ha about his research and how artificial intelligence is changing the future of breast cancer screening.
Scientists from the Department of Radiology are using artificial intelligence to extract information from standard-of-care CT scans that has potential to individually assess cancer treatments.
An artificial intelligence platform developed by scientists at Columbia Radiology performed well at differentiating between radiographs with and without fractures.
In a new study from Columbia Radiology, researchers utilized artificial intelligence (AI) to train algorithms to predict tumor sensitivity to three systemic cancer therapies.
Dr. Hiram Shaish weighs in on two studies which he says provide critical first steps towards much-needed clarity in understanding how best to perform CT urography.
Third-year radiology resident Sowmya Varada, MD, was awarded a Trainee Research Prize at the 2019 Radiological Society of North America (RSNA) Annual Convention this December.
Dr. Ha is one of six selected to share $500,000 in seed funding raised last fall in Velocity, Columbia's Ride to End Cancer, to support early-stage research projects.
Dr. Simi Mutasa has been selected by Columbia Cancer Training Program for Resident-Investigators to receive funding for development of an AI-based risk model for personalized breast cancer assessment.