Erik L. Ridley[email protected]ISWeb-based tool improves radiology/ED communicationMonday, December 2 | 12:15 p.m.-12:45 p.m. | QI108-ED-MOA1 | Lakeside, QR Community, Station 1A web-based software tool can improve communication between radiology and the emergency department (ED), according to this scientific poster.November 13, 2019ISSimulation model may enable faster ED CT turnaroundSunday, December 1 | 12:05 p.m.-12:15 p.m. | SSA06-09 | Room N227BIn this study, researchers from Canada will share how they utilized simulation software to pursue their goal of speeding up turnaround time for urgent CT exams of emergency department (ED) patients.November 13, 2019ISCTA studies in the ED add to burden for radiologistsSunday, December 1 | 11:25 a.m.-11:35 a.m. | SSA06-05 | Room N227BA team of researchers will share data quantifying the increase in radiologist workload from CT angiography (CTA) exams for evaluating aortic pathologies in the emergency department (ED).November 13, 2019ISStructured reporting improves endometriosis evaluationSunday, December 1 | 10:55 a.m.-11:05 a.m. | SSA10-02 | Room N228Researchers from Massachusetts will describe how the combination of structured reporting and reader expertise can improve the diagnosis and staging of endometriosis on MRI.November 13, 2019Digital X-RayDeep-learning algorithm bolsters lung cancer detectionRadiologists using a deep-learning algorithm can detect more cases of lung cancer on chest radiographs than they could without help from the software, while also having fewer false positives, according to research published online November 12 in Radiology.November 11, 2019AIStudy: Public image datasets may have QC issuesTwo large public image datasets commonly used to train artificial intelligence algorithms have quality control (QC) issues that could potentially limit their utility, according to research published online November 6 in Academic Radiology.November 10, 2019CTAI algorithm could enhance CT lung cancer screeningTuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ05-06 | Room S102CDAn artificial intelligence (AI) algorithm could help radiologists improve their diagnostic accuracy on CT lung cancer screening exams, according to this presentation.November 6, 2019AIAI needs robust clinical evaluation in healthcareIt's not enough for a healthcare artificial intelligence (AI) algorithm to be highly accurate. To be widely adopted in clinical use, it must demonstrate improvement in quality of care and patient outcomes, according to an opinion article published online October 29 in BMC Medicine.November 5, 2019AIGANs ease 'big data' problem in training AI algorithmsMonday, December 2 | 11:40 a.m.-11:50 a.m. | SSC04-08 | Room S102CDA type of AI technology called generative adversarial networks (GANs) that was trained using normal brain CT scans is able to detect various intracranial diseases, according to a study by researchers from South Korea.November 3, 2019CTAI algorithm could enhance CT lung cancer screeningTuesday, December 3 | 3:50 p.m.-4:00 p.m. | SSJ05-06 | Room S102CDAn artificial intelligence (AI) algorithm could help radiologists improve their diagnostic accuracy on CT lung cancer screening exams, according to this presentation.November 3, 2019Previous PagePage 73 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
