Top Stories
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A short animation explains radiomics and how it how it has been used by scientists to successfully assess the efficacy of cancer treatment.
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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.
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Health ImagingAn artificial intelligence platform developed by scientists at Columbia Radiology performed well at differentiating between radiographs with and without fractures.
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American Association for Cancer ResearchIn a new study from Columbia Radiology, researchers utilized artificial intelligence (AI) to train algorithms to predict tumor sensitivity to three systemic cancer therapies.
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Latest News
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European RadiologyJanuary 17, 2020Dr. 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.
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CUIMC NewsroomJuly 15, 2019Dr. 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.
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- 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.
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- May 29, 2019
Tony Wong, MD, was awarded a 2019 Research Scholar Grant for research and development of a new, radiation-free imaging approach that enables personalized treatment of femoroacetabular impingement.
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- May 29, 2019
Kathleen Capaccione, MD, PhD, has been awarded the Research and Education Foundation Resident/Fellow Grant to study the use of novel radiopharmaceuticals to diagnose and treat melanoma.
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- May 28, 2019
Dr. Jaramillo is looking at diffusion tensor imaging (DTI) as a potential biomarker for bone growth.
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Health ImagingFebruary 4, 2019A study led by Richard Ha, MD concluded that using a convolutional neural network (CNN) plus MRI data accurately predicted the molecular subtype of breast cancers.
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American Journal of RoentgenologyFebruary 1, 2019Tony Wong, MD, discusses his study on ulnar collateral ligament (UCL) insertional injuries in pediatric overhead athletes.
- March 28, 2017
Columbia and NewYork-Presbyterian to participate in program led by the Foundation for the National Institutes of Health Biomarkers Consortium
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