Erik L. Ridley[email protected]AIAI can spot overlooked IVC filters on radiography examsAn artificial intelligence (AI) algorithm can be used to identify forgotten inferior vena cava (IVC) filters on radiography exams, according to research presented at the Society for Imaging Informatics in Medicine annual meeting.May 24, 2021ISAI boosts imaging clinical decision-support softwareThe utility of imaging clinical decision-support software can be enhanced by integrating artificial intelligence (AI), according to research presented May 24 at the Society for Imaging Informatics in Medicine annual meeting.May 23, 2021UltrasoundUltrasound AI model can help evaluate chronic kidney diseaseArtificial intelligence (AI)-based analysis of kidney ultrasound studies could serve as a first-line method for evaluating patients with chronic kidney disease, according to research published online May 24 in JAMA Network Open.May 23, 2021CTAI predicts cardiovascular risk on LDCT lung cancer screeningA deep-learning algorithm can utilize low-dose CT (LDCT) lung cancer screening exams to predict a patient's risk of mortality from cardiovascular disease, according to research published online May 20 in Nature Communications.May 20, 2021Image ProcessingAI enables noninvasive tumor pathology mapping on brain MRIMachine-learning models trained using autopsy tissue samples are revealing new information on brain tumor pathology from MRI exams, according to a May 19 talk at the annual International Society for Magnetic Resonance in Medicine meeting.May 19, 2021CTDeep-learning algorithm estimates cancer risk of pulmonary nodulesA deep-learning algorithm can yield comparable performance to experienced thoracic radiologists in estimating the malignancy risk of pulmonary nodules on chest CT exams, according to research published online May 18 in Radiology.May 18, 2021Image ProcessingAI, radiomics can predict cancer in lesions found on breast MRIArtificial intelligence (AI) models trained on radiomics and clinical imaging findings can accurately detect cancer on breast MRI, according to a May 17 talk at the annual International Society for Magnetic Resonance in Medicine meeting.May 16, 2021Image ProcessingCloud computing poised to bolster clinical, research MRIAlthough some key challenges remain, cloud computing can facilitate new clinical and research applications in MRI, according to a May 16 presentation at the annual meeting of the International Society for Magnetic Resonance in Medicine.May 16, 2021MRIAI can add value in all parts of MR imaging chainArtificial intelligence (AI) can yield valuable improvements across all elements of the MR imaging chain, according to a May 15 presentation at the International Society for Magnetic Resonance in Medicine annual meeting.May 14, 2021UltrasoundCan AI help detect congenital heart disease on fetal ultrasound?An artificial intelligence (AI) model can significantly improve the detection of congenital heart disease on fetal screening ultrasound exams, according to researchers from the University of California, San Francisco.May 13, 2021Previous PagePage 43 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
