Erik L. Ridley[email protected]AIRoad 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, 2019AI4 steps for physicians to influence AI legal issuesThe adoption of artificial intelligence (AI) in clinical practice can engender complex medicolegal issues, but physicians can take certain actions to shape how liability determinations will play out, according to an article published online October 4 in the Journal of the American Medical Association.October 8, 2019PACS/VNAWhat's the best way to protect your PACS?It can be challenging for healthcare institutions to protect their PACS against cybersecurity threats. In an effort to help, the U.S. National Institute of Standards and Technology has published a draft practice guide aimed at helping healthcare organizations achieve PACS security.October 7, 2019Previous PagePage 72 of 389Next PageTop StoriesUltrasoundActive thyroid surveillance effective, beneficial for older patientsActive surveillance with ultrasound and pathology is effective for patients with early-stage thyroid cancer, especially older ones.Molecular ImagingFES-PET shows promise staging women with invasive lobular cancerCTStructured CT reporting tool may aid hernia detection after bariatric surgeryMRIHigher ventricular and atrial heart volumes boost cardiac disease riskWomens ImagingHybrid AI reading shows success in breast cancer screening
