Erik L. Ridley[email protected]PACS/VNADitching the disks for image sharing can yield huge savingsDitching CDs and DVDs in favor of electronic medical image exchange can save health systems hundreds of thousands of dollars a year, according to research presented May 26 at the Society for Imaging Informatics in Medicine annual meeting.May 26, 2021PACS/VNAInteroperability will unleash power of AI for medical imagingInteroperability across health systems could help unleash the power of artificial intelligence (AI) in medical imaging and healthcare overall, according to a keynote talk by Hal Wolf on May 26 at the Society for Imaging Informatics in Medicine annual meeting.May 25, 2021AIAI 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, 2021Previous PagePage 38 of 388Next PageTop StoriesDigital X-RayDo courts recognize the limitations of chest x-ray for lung cancer?Currently, there is no formal, universally accepted methodology of using radiology-specific evidence-based medicine in courts.UltrasoundPOCUS outperforms chest x-ray in finding pneumothoraxCTSCCT: Higher exposure to air pollution linked to higher CACSCTSCCT: Saurabh Jha on what trainees can expect starting out in cardiac CTSponsor ContentYou think ahead. We innovate ahead.
