Erik L. Ridley[email protected]CTAI 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, 2019CTCDC names vaping-related illness, issues new guidanceThe U.S. Centers for Disease Control and Prevention (CDC) has updated its initial recommendation for healthcare providers on how to deal with vaping-associated illness, which the CDC has now named e-cigarette, or vaping, product use-associated lung injury (EVALI).October 14, 2019AINew AI training model addresses data privacy concernsA new approach to training artificial intelligence (AI) algorithms on imaging data from multiple institutions can produce high-performing models -- while still preserving patient privacy, according to new research from graphics processing unit technology developer Nvidia and King's College London.October 13, 2019PACS/VNAPatient photos yield clinical benefits in radiographyPhotos of patients taken at the same time they receive a portable radiography exam can yield a variety of clinical benefits for radiologists, such as reduced errors in diagnosis and treatment, according to research published online October 8 in the American Journal of Roentgenology.October 13, 2019ISAuntMinnie.com Enterprise Imaging InsiderOctober 10, 2019Previous PagePage 76 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
