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Third-year radiology resident John Zech, MD, MA, has been awarded a $30,000 RSNA Resident/Fellow Research Grant.
First-year radiology resident Laurent Dercle, MD, PhD, was selected by the American Board of Radiology to participate in the B. Leonard Holman Research Pathway.
There is currently no official role for CT in breast imaging. Drs. Mary Salvatore and Elise Desperito say it's time to rethink that.
Diffusion tensor imaging in children may help predict growth potential better than bone-age imaging.
- November 18, 2020
Thoracic radiologist Mary Salvatore, MD is looking at cancers of the lung that occur with fibrosis.
- October 15, 2020
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.
- July 22, 2020
A short animation explains radiomics and how it how it has been used by scientists to successfully assess the efficacy of cancer treatment.
- July 21, 2020
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.
Source:Health ImagingJuly 8, 2020
An artificial intelligence platform developed by scientists at Columbia Radiology performed well at differentiating between radiographs with and without fractures.
Source:American Association for Cancer ResearchMarch 20, 2020
In a new study from Columbia Radiology, researchers utilized artificial intelligence (AI) to train algorithms to predict tumor sensitivity to three systemic cancer therapies.
Source:European RadiologyJanuary 17, 2020
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.
- December 10, 2019
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.
- June 18, 2019
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.