Erik L. Ridley[email protected]CTAI algorithm detects, tags, and segments lesions on CTMonday, December 2 | 10:30 a.m.-10:40 a.m. | SSC08-01 | Room E450AIn this talk, researchers will share details about a deep-learning algorithm for detecting, tagging, and segmenting various lesions on CT images.November 3, 2019AIRadiomics can assess metastatic liver disease treatmentSunday, December 1 | 11:55 a.m.-12:05 p.m. | SSA08-08 | Room S104ARadiomics and machine learning can accurately assess treatment response for liver metastases in breast cancer patients, according to this scientific presentation.November 3, 2019CTAI-based FFR-CT adds value in triple-rule-out angioSunday, December 1 | 11:35 a.m.-11:45 a.m. | SSA03-06 | Room S105ABArtificial intelligence (AI)-based fractional flow reserve (FFR-CT) analysis can add diagnostic and prognostic value in patients receiving triple-rule-out coronary CT angiography, according to a study to be presented in this talk.November 3, 2019AIAlgorithm finds hip, pelvic fractures on x-raysSunday, December 1 | 11:15 a.m.-11:25 a.m. | SSA12-04 | Room E450AAn artificial intelligence (AI) algorithm was able to detect both hip and pelvic fractures on pelvic radiographs in a study by researchers from Taiwan.November 3, 2019CTAI can opportunistically screen for vertebral fracturesSunday, December 1 | 11:05 a.m.-11:15 a.m. | SSA12-03 | Room E450AIn this talk, researchers will present their automated method to provide opportunistic screening for vertebral fractures on CT exams.November 3, 2019Molecular ImagingDeep learning detects bone metastases on PET/CTSunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA16-01 | Room S505ABA deep-learning system can yield promising results for identifying and annotating bone metastases on PET/CT image data, according to this talk by researchers from Japan.November 3, 2019AIRoad to RSNA 2019: Artificial Intelligence PreviewWelcome to the first installment of this year's Road to RSNA preview of the RSNA 2019 meeting in Chicago. Our journey along the Road to RSNA begins with our preview of artificial intelligence (AI), a topic that's once again primed to take center stage at the meeting. AI research is largely focused these days on augmenting radiologists and improving the practice of radiology and patient care.November 3, 2019Molecular ImagingDeep-learning model characterizes PET/CT findingsAn artificial intelligence algorithm shows a promising level of accuracy for identifying normal and abnormal results on FDG-PET/CT exams, and it could potentially help radiologists avoid missed findings, according to research published online October 28 in the Journal of Digital Imaging.October 31, 2019AIAI may help improve sensitivity of ED chest x-ray readsAn artificial intelligence (AI) algorithm can accurately identify significant abnormalities on chest x-rays and could improve the sensitivity of radiology residents interpreting these cases in the emergency department (ED), according to research published online October 22 in Radiology.October 24, 2019AICan AI find brain hemorrhage as well as radiologists?An artificial intelligence (AI) algorithm was able to accurately identify acute intracranial hemorrhage on head CT scans and even find some tiny hemorrhages that could be overlooked by radiologists, according to research published online October 21 in the Proceedings of the National Academy of Sciences.October 21, 2019Previous PagePage 72 of 389Next PageTop StoriesAIU.S. FDA may need to clarify SaMD validation standardsIn a video interview, a Dana-Farber Cancer Institute expert describes what the "rigor spectrum" is in validation study designs.Molecular ImagingPSMA-PET/CT may replace NaF-PET/CT in advanced prostate cancerWomens ImagingPreop breast MRI improves surgical planning, but use disparities remainWomens ImagingFIGO classification from MRI leads to moderate agreement among radsSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
