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Thoracic radiologist Mary Salvatore, MD is looking at cancers of the lung that occur with fibrosis.
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.
A short animation explains radiomics and how it how it has been used by scientists to successfully assess the efficacy of cancer treatment.
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.
- 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.
- 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.
- May 28, 2019
Dr. Jaramillo is looking at diffusion tensor imaging (DTI) as a potential biomarker for bone growth.
Source:Health ImagingFebruary 4, 2019
A 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.