Erik L. Ridley[email protected]Image ProcessingCan body composition metrics foretell COVID-19 patient outcomes?The body composition of patients hospitalized for COVID-19 as assessed on routine abdominal CT exams could help predict adverse outcomes, according to research published online July 9 in the International Journal of Obesity.July 12, 2021Image ProcessingRadiomics enables 'one-stop' test for lung cancer and heart diseaseRadiomics analysis of low-dose CT lung screening exams can be used to stratify cardiovascular risk, creating a "one-stop" test for both lung cancer and heart disease, according to research published online June 30 in Academic Radiology.July 6, 2021CTAI algorithm predicts radiology turnaround time delaysDelays in on-call radiology turnaround times can be predicted with a high level of accuracy by an artificial intelligence (AI) algorithm, according to research published online June 27 in Academic Radiology.June 30, 2021AIWill radiology AI increase workloads for radiologists?Recent developments in artificial intelligence (AI) for radiology appear more likely to add to the workload of radiologists than reduce it, Dutch researchers reported in an article published online June 29 in Insights into Imaging.June 30, 2021CTDeep-learning algorithm spots kidney stones on CT examsAn artificial intelligence (AI) algorithm was able to identify kidney stones -- even very small stones -- at a very high level of accuracy on CT, according to research published online June 14 in Computers in Biology and Medicine.June 20, 2021AIAuntMinnie.com Artificial Intelligence InsiderJune 16, 2021CTDoes radiology AI need more clinical validation?An artificial intelligence (AI) algorithm for detecting cervical spine fractures may not generalize well to local patient populations, according to research published online June 11 in the American Journal of Neuroradiology.June 16, 2021CTAI can automatically quantify atherosclerosis on CCTAAn artificial intelligence (AI) application can rapidly and accurately quantify stenosis on coronary CT angiography (CCTA) exams, according to a multinational study published online June 12 in the Journal of Cardiovascular Computed Tomography.June 15, 2021Radiation Oncology/TherapyAI algorithm produces autosegmented contours for radiotherapyAutomatically segmented contours generated on CT scans by a deep-learning algorithm can yield positive results when utilized clinically in radiotherapy planning, according to research published online June 8 in Radiation Oncology.June 13, 2021Nuclear MedicineAI analysis of SPECT MPI scans can predict future cardiac eventsThe combination of artificial intelligence (AI) and SPECT myocardial perfusion imaging (MPI) can accurately predict future major adverse cardiac events, according to research being presented on June 13 at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).June 11, 2021Previous PagePage 41 of 393Next PageTop StoriesHomeLLMs mostly avoid unnecessary care in Choosing Wisely testsLLMs recommended potentially unnecessary care in about 5% of responses, with many being thyroid ultrasound tests.Nuclear MedicineEANM: Thomas Hope on what’s next in FAP-targeted theranosticsCardiac ImagingMRI shows no ties between COVID, future heart inflammationMolecular ImagingEANM: Next-generation PET scanner cuts imaging time to one minuteAugmented/Virtual RealityVR boosts accuracy, confidence for evaluating abdominal neuroblastoma
