Erik L. Ridley[email protected]ISBlockchain has both potential and shortcomings in radiologySunday, November 25 | 1:00 p.m.-1:30 p.m. | IN141-ED-SUB1 | Lakeside, IN Community, Station 1Blockchain technology shows promise for a number of radiology applications, but it also has important limitations, according to this poster presentation.November 7, 2018ISCDS initiative cuts duplicative abdominal ultrasoundsSunday, November 25 | 12:30 p.m.-1:00 p.m. | QI102-ED-SUA6 | Lakeside, QR Community, Station 6Researchers from Baltimore will share in this poster presentation how a clinical decision-support (CDS) initiative led to fewer unnecessary abdominal ultrasound exams.November 7, 2018ISStructured reporting system enhances report qualitySunday, November 25 | 12:30 p.m.-1:00 p.m. | IN009-EC-SUA | Lakeside, IN Community, Custom Application Computer DemonstrationIn this poster presentation, researchers from Texas will detail how their multimedia structured reporting software can help radiologists produce better reports.November 7, 2018ISInterventional radiologists offer wisdom on reportingSunday, November 25 | 12:30 p.m.-1:00 p.m. | IN140-ED-SUA1 | Lakeside, IN Community, Station 1Interventional radiologists have a unique perspective on radiology reporting that could benefit diagnostic radiologists, according to this poster presentation.November 7, 2018AIHow well does imaging AI perform in the real world?Artificial intelligence (AI) algorithms can yield impressive results when tested on images similar to those used in their training. But how well do they do on images acquired at other hospitals and on different patient populations? Not always as well, according to research published online November 6 in PLOS Medicine.November 6, 2018Nuclear MedicineDeep-learning algorithm predicts Alzheimer's diseaseBy learning to identify the metabolic patterns of Alzheimer's disease, a deep-learning algorithm for brain FDG-PET studies can accurately predict the onset of this devastating disease years before a clinical diagnosis can be made, according to new research published online in Radiology.November 6, 2018UltrasoundAI algorithm could decrease number of thyroid biopsiesSunday, November 25 | 10:55 a.m.-11:05 a.m. | SSA12-02 | Room S406BIn this presentation, researchers will describe how the use of an artificial intelligence (AI) algorithm could obviate the need for many biopsies performed on thyroid nodules.November 4, 2018CTAI taps prognostic power of CT lung cancer screeningMonday, November 26 | 10:30 a.m.-10:40 a.m. | SSC03-01 | Room E451ABy analyzing CT lung cancer screening exams, an artificial intelligence (AI) algorithm can predict the likelihood of five other major diseases, researchers from California will report in this presentation.October 31, 2018AIMachine learning can predict stroke treatment outcomesMaking use of imaging features and demographic information, machine-learning algorithms predicted 90-day outcomes in patients with acute ischemic stroke, offering potential as an aid for treatment decisions, according to research published online October 24 in the American Journal of Roentgenology.October 29, 2018BreastAI-based CAD can improve breast cancer detectionWednesday, November 28 | 11:30 a.m.-11:40 a.m. | SSK02-07 | Room E451BComputer-aided detection (CAD) software based on artificial intelligence (AI) can increase radiologist breast cancer detection rates, according to this scientific presentation.October 29, 2018Previous PagePage 90 of 389Next PageTop StoriesCTMachine learning plus CT helps assess severity of COPDA machine-learning model based on chest CT images accurately predicts lung function, which can help clinicians diagnose and assess COPD.UltrasoundActive thyroid surveillance effective, beneficial for older patientsMolecular 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 risk
