Yiqiu “Artie” Shen, machine learning researcher who develops artificial intelligence systems for medical imaging, talks about AI’s ability to explain itself, guide discovery, and predict cancer risk.
Tag: Artificial Intelligence
Findings highlight need for diversity in neurological and psychiatric research.
Radhika Tibrewala, graduate student in biomedical imaging, talks about the new fastMRI prostate dataset, deep learning in MRI, and how she started a PhD remotely in 2020.
A look at how Linda Moy, MD, professor of radiology at NYU Langone Health, is working with colleagues to investigate and develop AI methods for better breast MRI.
Patricia Johnson, who researches machine learning image reconstruction, talks about faster MRI, visual preferences, and diagnostic interchangeability.
MR images reconstructed from undersampled scans with AI have similar diagnostic value as those reconstructed with conventional methods, find scientists at NYU Langone and Meta AI Research.
Krzysztof Geras and Jan Witowski, machine learning researchers in medical imaging, talk about understanding one’s data, working across disciplines, and radiologists’ “new colleague.”
Imaging researchers at NYU Langone Health are training AI models to recognize breast cancer in mammograms, with the potential to improve radiologists’ accuracy.
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.
A combination of radiologists and AI reduced overdiagnosis and more accurately identified breast cancer in ultrasound exams.