Erik L. Ridley[email protected]CTAI takes low-dose chest CT dose even lowerThursday, December 1 | 1:30 p.m.-2:30 p.m. | R6-SSCH10-2 | Room N228Researchers have found that deep learning-based reconstruction can enable low-dose chest CT images to be reconstructed with a 75% lower radiation dose without negatively impacting image quality and lesion detection.November 13, 2022CTRadiologists detect more lung nodules on CT with help from AIThursday, December 1 | 1:30 p.m.-2:30 p.m. | R6-SSCH10-3 | Room N228Researchers will report on how artificial intelligence (AI) can help radiologists be more accurate and efficient for detecting lung nodules on chest CT exams.November 13, 2022AIAI can triage negative digital breast tomosynthesis examsThursday, December 1 | 8:00 a.m.-9:00 a.m. | R1-SSBR10-1 | Room E451BAn artificial intelligence (AI) algorithm could decrease radiologist workload by providing automated triage of negative digital breast tomosynthesis (DBT) exams, according to this scientific presentation.November 13, 2022MRIAI improves image quality of MRI liver studiesWednesday, November 30 | 12:15 p.m.-12:45 p.m. | W5A-SPGI-4 | Learning Center - GI DPS At this Wednesday afternoon poster session, researchers will present study results that highlight the benefits of using artificial intelligence with a contrast-enhanced T1-weighted MRI sequence for imaging the liver.November 13, 2022MRICan AI improve diagnostic accuracy for prostate MRI?Monday, November 28 | 1:30 p.m.-2:30 p.m. | M6-SSGU03-5 | Room S406BPreliminary results from a large Dutch study suggest that an artificial intelligence (AI) algorithm could help improve diagnostic accuracy in interpreting prostate MRI exams.November 13, 2022AIHow to find and address workflow challenges in implementing AIMonday, November 28 | 9:30 a.m.-10:30 a.m. | M3-SSIN02-6 | Room E350In this talk, researchers will describe how they identified and addressed challenges to integrating radiology artificial intelligence (AI) algorithms into their clinical workflow.November 13, 2022CTAI algorithm aids in staging of liver fibrosis on CT examsSunday, November 27 | 2:30 p.m.-3:30 p.m. | S5-SSGI03-4 | Room S406BAn artificial intelligence (AI) algorithm can yield highly accurate performance for staging liver fibrosis on CT exams, according to this scientific presentation.November 13, 2022AIBone-age prediction models may not perform as well in real-worldSunday, November 27 | 9:00 a.m.-10:00 a.m. | S1-SSMK01-06 | Room E451BDeep-learning algorithms that predict bone age on radiographs may struggle to reproduce their high testing accuracy when deployed in the real-world, according to this research presentation.November 13, 2022CTAI algorithm identifies multiple myeloma lesions on whole-body CTSunday, November 27 | 9:00 a.m.-10:00 a.m. | S1-SSMK01-2 | Room E451BResearchers from the Mayo Clinic in Rochester, MN, will share how their deep-learning algorithm can detect multiple myeloma lesions on whole-body CT exams.November 13, 2022HomeWeek in review: PET tracers for prostate treatment response | AI for DBT | Nonphysician providersNovember 11, 2022Previous PagePage 14 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