Kate Madden Yee[email protected]MRI63% of heavy cannabis users show reduced working memory abilityFunctional MRI reveals that 63% of heavy lifetime cannabis users show reduced brain activity during a working memory task -- and that 68% of recent users also show this impact.January 28, 2025CTDoes obesity improve NSCLC patients' postsurgery survival?Obesity appears to improve the overall post-surgery survival of patients with non-small cell lung cancer (NSCLC) by 21% compared with their nonobese peers.January 28, 2025MRIMR spectroscopy reveals neurochemical patterns linked to COVID-19Proton MR spectroscopy (MRS) reveals "remarkable" neurochemical patterns associated with COVID-19-induced anosmia, or loss of smell.January 23, 2025CTDeep learning helps find, segment lung tumors on CT imagingUsing a deep-learning model with lung CT imaging shows promise for identifying and segmenting tumors, researchers have reported.January 22, 2025CTMachine learning can predict immunotherapy response in NSCLC patientsMachine learning can help clinicians predict immunotherapy response in patients with inoperable non-small cell lung cancer (NSCLC).January 17, 2025Clinical NewsACS: Cancer mortality continues to dropCancer mortality rates continue to drop -- although incidence of the disease is rising in women, according to an annual study released by the ACS.January 16, 2025MRISimulated contrast-enhanced MRI helps assess prostate cancerSimulated contrast-enhanced MR images from noncontrast sequences using deep learning show promise for assessing clinically significant prostate cancer.January 15, 2025MRIAuntMinnie.com MRI InsiderIn this first MRI Insider of 2025, we've got a plethora of MRI content that will engage your interest.January 15, 2025MRIMeasuring myelin volume with synthetic MRI helps predict stroke outcomesStroke patients with large total myelin volume measured on synthetic MR imaging appear to have good functional outcomes on follow-up.January 15, 2025MRIDeep-learning model based on MRI data predicts prostate cancer riskA deep-learning model based on MRI and clinical parameters appears effective for predicting the risk of prostate cancer progression.January 10, 2025Previous PagePage 8 of 49Next PageTop StoriesNuclear MedicineLLMs rapidly evolving in nuclear medicineLarge language models (LLMs) are widely used to handle the large volume of text data generated in nuclear medicine.MRIDWI with fat correction identifies liver scarring in MASLD patientsUltrasoundGhost scans problematic in POCUS trauma examsMolecular ImagingPSMA-PET may require selective use to be cost-effectiveSponsor ContentJoin Us!