Using [68Ga]Ga-PSMA-11 PET/CT to monitor treatment response in prostate cancer patients can offer important lesion-based insights over prostate-specific membrane antigen (PSMA)-based monitoring, according to a new study published in EJNMMI Research.
Researchers from the University of Oxford have created a new biomarker based off of coronary CT angiography (CCTA) images that can select patients at a high risk of heart attack five years before they occur.
Providing patients more testing choices does not increase their participation in colorectal cancer screening—but the way clinician’s framed those choices did, according to a new study published in JAMA Network Open.
A new radiomics-based machine learning model can evaluate immunohistochemistry (IHC) features and CT images to predict the presence of thyroid nodules, according to a new study published in the American Journal of Roentgenology.
Trenton T. Kellock, MD, with Royal Inland Hospital’s Department of Medical Imaging in British Columbia, Canada, and colleagues performed a systematic review and meta-analysis of studies including more than 1,200 patients.
Engineers from Duke University have harnessed the power of machine learning to increase the resolution of optical coherence tomography (OCT) imaging, according to an Aug. 19 study published in Nature Photonics.
Radiology reports derived from structured brain tumor MRI reporting and data systems (BT-RADS) showed measurable improvements compared to free text reports, according to a new study published in Academic Radiology.