Erik L. Ridley[email protected]Digital X-RayModels predict mortality risk on total-body DEXA examsSunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-3 | Room TBAArtificial intelligence can spot changes in body composition over time on total-body dual-energy x-ray absorptiometry (DEXA) exams and predict mortality risk, according to this presentation.November 16, 2021Digital X-RayAI captures bone mineral density data from hip x-raysSunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-1 | Room TBAIn this talk, researchers will show how bone mineral density data can be obtained from hip radiographs by an artificial intelligence (AI) algorithm.November 16, 2021CTReport: Reimbursement drives adoption of AI software for strokeThe start in 2020 of Medicare payments for artificial intelligence (AI) software to detect large-vessel occlusion stroke on CT scans has precipitated a sharp increase in utilization, according to a new report from group purchasing organization Vizient.November 14, 2021Digital X-RayRadiologists boost AI severity quantification of COVID-19Involving radiologists in fine-tuning an artificial intelligence (AI) algorithm yielded better performance for detecting and quantifying COVID-19 pneumonia on x-rays, according to research published October 28 in the Journal of Thoracic Imaging.November 14, 2021AIRoad to RSNA 2021: Artificial Intelligence PreviewWelcome to the first installment of this year's Road to RSNA preview of the RSNA 2021 meeting, which will return to McCormick Place after a one-year hiatus due to the COVID-19 pandemic. Fittingly, our journey along the Road to RSNA begins with our preview of artificial intelligence.November 14, 2021MRIAI-based measurements increase utility of cardiac MRIThursday, December 2 | 9:30 a.m.-10:30 a.m. | SSCA10-1 | Room TBAAutomated cardiac MRI measurements correlate better with invasive pulmonary hemodynamics than manual measurements and could also help in predicting mortality, according to this study.November 14, 2021MRIDeep learning meets need for speed in spine MRIThursday, December 2 | 9:30 a.m.-10:30 a.m. | SSNR14-5 | Room TBAIn this session, researchers will show how a deep learning-based image reconstruction method can deliver up to 72% faster spine MRI scan times along with perceived improvements in image quality.November 14, 2021MRICan AI enable 90% lower gadolinium dose in brain MRI?Thursday, December 2 | 9:30 a.m.-10:30 a.m. | SSNR14-2 | Room TBAAn artificial intelligence (AI) algorithm can enable high-quality contrast-enhanced brain MRI exams to be acquired using only 10% of the normal dose of a gadolinium-based contrast agent, according to this multicenter clinical study.November 14, 2021CTDeep-learning algorithm triages emergency head CTsWednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-3 | Room TBAA deep-learning algorithm trained on only normal head CT exams can triage emergency cases for priority review by radiologists, according to this presentation.November 14, 2021AIAI illuminates health disparities in COVID-19 patientsWednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSIN06-1 | Room TBAIn this talk, researchers will describe how an artificial intelligence (AI) algorithm can reveal racial or ethnic disparities in COVID-19 patients based on their chest x-rays.November 14, 2021Previous PagePage 29 of 389Next PageTop StoriesMRIUse of solar energy could cut MRI, CT carbon emissions by 70% and 40%Medical imaging is one of the highest energy users in healthcare, but "sustainability efforts are still lacking," researchers noted.Digital X-RayWhat’s the environmental impact of x-ray and fluoroscopy?UltrasoundLinens, disposable items make up most of ultrasound's carbon footprintMolecular ImagingPSMA PET-guided radiotherapy shows promiseSponsor ContentDigital Innovations Shaping the Future of Radiology
