Computed tomography (CT) scans of the chest, abdomen, and spine, taken originally to detect problems such as kidney stones or growths on the lungs, can be repurposed through artificial intelligence (AI) to catch signs of bone loss, a new study shows.
Imaging scientists at NYU Langone have created an AI model that assesses MRI data during the exam to inform the remainder of the imaging session.
Lavanya Umapathy, postdoctoral fellow who develops representation learning models for medical imaging, talks about improving prostate-cancer screening and using artificial intelligence to approach “the person behind the images.”
Yongxian Qian, imaging scientist whose interests include multinuclear MRI and quantum computing, talks about how he entered the field, why sodium MRI matters, and what quantum tech can mean for imaging.
Congratulations to Ryn Flaherty on a successful defense of his doctoral dissertation in biomedical imaging and technology at NYU Grossman School of Medicine.
A procedure that can be performed under mild sedation in less than two hours by an interventional radiologist relieves chronic knee pain caused by osteoarthritis, an NYU Langone Health study shows.
Gait analysis and pain measures show that subtly adjusting the angle of the foot during walking may reduce knee pain caused by osteoarthritis and slow disease progression.
NYU Langone scientists propose MRI sodium separation method with potential to inform research on ion imbalances in neurological conditions.
NYU Langone study finds ultra-low-field MRI and deep learning image processing tools accurate for brain volumetry research, recommends “TomoBrain.”
Congratulations to Jungkyu Park on a successful defense of his doctoral dissertation in biomedical imaging and technology at NYU Grossman School of Medicine.