Erik L. Ridley[email protected]CTCan AI help guide management of COVID-19 patients?Monday, November 29 | 1:30 p.m.-2:30 p.m. | SSPH05-2 | Room TBAIn this session, researchers will discuss the potential of artificial intelligence (AI) for supporting treatment decisions in COVID-19 patients.November 14, 2021CTAlgorithm helps monitor HCC treatment responseMonday, November 29 | 9:30 a.m.-10:30 a.m. | SSGI06-5 | Room TBAA deep learning-based software application can improve the objectivity of treatment response evaluation in patients with hepatocellular carcinoma (HCC), according to this presentation.November 14, 2021CTFederated learning facilitates algorithm trainingMonday, November 29 | 9:30 a.m.-10:00 a.m. | SSGI05-2 | Room TBAIn this talk, researchers will share their success in using federated learning to train deep-learning algorithms for liver and tumor segmentation on hepatic CT exams.November 14, 2021AIAlgorithm enhances survival predictions in lung cancerMonday, November 29 | 9:30 a.m.-10:00 a.m. | SSCH03-2 | Room TBAArtificial intelligence-based assessment of biological chest age on chest radiographs can help to predict survival in lung cancer patients, according to this presentation.November 14, 2021AIAI catches missed limb, pelvic bone fractures on x-raysSunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-5 | Room TBAAn artificial intelligence (AI) algorithm can detect limb or pelvic bone fractures that were initially missed on radiographs, according to this study from France.November 14, 2021Digital 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 14, 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 14, 2021CTAI differentiates colorectal polyps on CT colonographySunday, November 28 | 10:30 a.m.-11:30 a.m. | SSGI01-4 | Room TBAThis proof-of-concept study will demonstrate the potential for artificial intelligence (AI) technology to differentiate colorectal polyps spotted on CT colonography exams.November 14, 2021Radiation Oncology/TherapyNvidia unveils new healthcare offerings at GTC Fall 2021Graphics processing unit technology developer Nvidia is introducing a new healthcare artificial intelligence computing platform, as well as a new relationship with MD Anderson Cancer Center, at this week's GPU Technology Conference (GTC) Fall 2021.November 8, 2021Advanced VisualizationHow to generate patient-specific augmented reality modelsAs advanced visualization techniques such as augmented reality (AR) continue to proliferate, radiologists need to become familiar with these technologies, according to an article published online October 28 in 3D Printing in Medicine.October 31, 2021Previous PagePage 34 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
