CAI2R is a part of the Center for Biomedical Imaging in the Department of Radiology at NYU Langone Health.  For patient care, see imaging services.
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Lab Talk

Anna Chen on Choosing Science, Pursuing a PhD, and Eyeing Industry

Anna Chen, PhD candidate in biomedical imaging, talks about what led her to research, why she’s working with MR spectroscopy, and how she’s learning about business.

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Research Brief

How a Small Pilot Tone Is Taking On One of MRI’s Big Challenges

Imaging scientists around the world are looking into this simple transmitter to deal with breathing motion in MRI scans. NYU Langone offers resources to kickstart their research.

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Lab Talk

Mariana Lazar on Subcortical Iron, Scientific Family, and Not Waiting until You Feel Ready

Mariana Lazar, medical imaging researcher who investigates psychiatric disorders, talks about recent findings, mentoring students, and learning by doing.

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Via NYU Langone Health NewsHub

Your Radiologist Is the Most Important Doctor You’ve Never Met—Until Now

NYU Langone Health debuts the first video radiology reports in a U.S. hospital to help patients understand the results of their imaging exams.

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Lab Talk

Krzysztof Geras and Jan Witowski on Data, Collaboration, and ‘Superhuman Performance’

Krzysztof Geras and Jan Witowski, machine learning researchers in medical imaging, talk about understanding one’s data, working across disciplines, and radiologists’ “new colleague.”

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Via NYU Langone Health NewsHub

Study: Video Radiology Reports an Important Tool to Help Patients Understand Imaging Test Results

Personalized, plain-language video reports can help patients better understand imaging test results, according to a new study led by radiologists at NYU Langone in collaboration with Visage Imaging and Siemens Healthineers.

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Via NYU Langone Health NewsHub

Can Artificial Intelligence Perfect Mammography?

Imaging researchers at NYU Langone Health are training AI models to recognize breast cancer in mammograms, with the potential to improve radiologists’ accuracy.

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Via NYU Langone Health NewsHub

Artificial Intelligence Tool Improves Accuracy of Breast Cancer Imaging

A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows.

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Research Brief Visual Story

Who Better Detects Breast Cancer on Ultrasound Exams: AI or Radiologists? Both.

A combination of radiologists and AI reduced overdiagnosis and more accurately identified breast cancer in ultrasound exams.

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Lab Talk

Florian Knoll on Ideas Ahead of Their Time, Hallucinations, and the Next 10 Years

Florian Knoll, incoming chair of imaging at University of Erlangen–Nuremberg, talks about his background, not being greedy, and why he does what he does.