Erik L. Ridley[email protected]ISMachine learning predicts adverse cardiac events from reports, EMRWednesday, December 1 | 1:30 p.m.-2:00 p.m. | SSCA09-6 | Room E352Adverse cardiac events can be predicted from machine learning-based analysis of radiology reports and electronic medical record (EMR) data, according to this scientific presentation.November 21, 2021ISPrediction model forecasts need for COVID-19 resourcesWednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-5 | Room S405In this talk, researchers will describe how data in the electronic medical record can be used to predict if a COVID-19 patient will need to be admitted to the hospital.November 21, 2021ISCan AI predict radiology study volume and turnaround times?Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSIN06-5 | Room E350Although an artificial intelligence (AI) algorithm can predict daily radiology study volume, it's still not ready to be used to optimize radiologist scheduling, according to this scientific presentation.November 21, 2021ISCT radiomics help stratify risk in NSCLC patientsTuesday, November 30 | 3:00 p.m.-4:00 p.m. | SSIN05-1 | Room S401In this session, researchers will share how CT radiomics can enable prognostic stratification in patients with non-small cell lung cancer (NSCLC).November 21, 2021ISStructured reporting speeds up resident reportsMonday, November 29 | 9:30 a.m.-10:30 a.m. | SSIN02-2 | Room S401Structured reporting can significantly speed up report turnaround times for neuroradiology residents, according to this scientific presentation.November 21, 2021ISDoes patient image access affect radiologist workloads?Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSIN01-6 | Room E350In this study, a multi-institutional research team found that patient access to radiology images on online patient portals tended not to affect radiologists very much.November 21, 2021ISClinical decision-support software gets a helping hand from AISunday, November 28 | 10:30 a.m.-11:30 a.m. | SSIN01-2 | Room E350In this talk, researchers will share positive results from providing clinicians with artificial intelligence (AI)-assisted clinical indications when ordering imaging studies using clinical decision-support software.November 21, 2021ISRadiomics helps predict rectal cancer treatment responseSunday, November 28 | 10:30 a.m.-11:30 a.m. | SSGI01-1 | Room S404The combination of radiologist assessment and a radiomics classifier can significantly improve the accuracy of MRI for predicting treatment response in cases of rectal cancer, according to this scientific presentation.November 21, 2021CTHow will AI affect radiologist productivity?Artificial intelligence (AI) software can offer much value in radiology. But those benefits don't have to come at the cost of added burden for radiologists, if new research published online November 17 in Academic Radiology is any indication.November 17, 2021CTDeep-learning algorithm triages emergency head CTsWednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-3 | Room TBAA deep-learning algorithm trained on only normal head CT exams can triage emergency cases for priority review by radiologists, according to this presentation.November 17, 2021Previous PagePage 31 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
