Hong Hsi Lee, alumnus of the Biomedical Imaging & Technology PhD Program at NYU Grossman School of Medicine, has just completed postdoctoral training at our Center and is headed to a postdoctoral fellowship at Massachusetts General Hospital. We take a look at his journey.
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Meet Vatsal Sodha
An interest in machine learning in medicine sparked by a college project has taken Vatsal Sodha from Gujarat to Arizona to a bicoastal telecommute.
Pre-biopsy MRI may help avoid overtreating low-grade cancer.
The results could significantly improve the patient experience, expand access to MRIs, and potentially enable new use cases for MRI.
A look at how Linda Moy, MD, professor of radiology at NYU Langone Health is working with colleagues at NYU Center for Data Science on AI approaches to improve breast cancer screening.
Scientists at NYU Langone Health show that MRI signal can detect axonal features long assumed to lie beyond the reach of magnetic resonance imaging.
An AI tool trained on roughly a million screening mammography images identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists, a new study finds.
Daniel Sodickson, vice chair for research at NYU Langone’s radiology department, talks about cultivating talent, finding “a room of one’s own,” and distrusting startup packages.
NIH-funded deep learning research at NYU Grossman School of Medicine promises to predict progression of knee osteoarthritis.
Imaging scientist Daniel Sodickson is collaborating with Facebook to make magnetic resonance imaging less burdensome for claustrophobic patients.