New research from the Translational Neuroimaging Lab identifies effects of repeated head impacts in locations similar to those seen in CTE, raising concern for delayed adverse effects.
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.
Congratulations to Dr. Diego Jaramillo who has secured a five-year R01 grant for his project, “Understanding Skeletal Growth Using Diffusion Tensor Imaging of the Physis and Metaphysis”.
A review article looks at the challenges facing the translation of developed radiomics signatures from bench to bedside, progress made to date, and potential strategies to reduce feature variability.
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.