Erik L. Ridley[email protected]ISRadiomics 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, 2021CTCoronary stenosis algorithm bolsters reproducibilityMonday, November 29 | 3:00 p.m.-4:00 p.m. | SSCA04-2 | Room TBACoronary stenosis evaluation on coronary CT angiography can be improved with the assistance of an artificial intelligence algorithm, according to this presentation.November 17, 2021CTCan AI help guide management of COVID-19 patients?Monday, November 29 | 1:30 p.m.-2:30 p.m. | SSPH05-2 | Room TBAIn this session, researchers will discuss the potential of artificial intelligence (AI) for supporting treatment decisions in COVID-19 patients.November 17, 2021CTAlgorithm helps monitor HCC treatment responseMonday, November 29 | 9:30 a.m.-10:30 a.m. | SSGI06-5 | Room TBAA deep learning-based software application can improve the objectivity of treatment response evaluation in patients with hepatocellular carcinoma (HCC), according to this presentation.November 17, 2021CTAI differentiates colorectal polyps on CT colonographySunday, November 28 | 10:30 a.m.-11:30 a.m. | SSGI01-4 | Room S404This proof-of-concept study will demonstrate the potential for artificial intelligence (AI) technology to differentiate colorectal polyps spotted on CT colonography exams.November 17, 2021Digital X-RayAI illuminates health disparities in COVID-19 patientsWednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSIN06-1 | Room TBAIn this talk, researchers will describe how an artificial intelligence (AI) algorithm can reveal racial or ethnic disparities in COVID-19 patients based on their chest x-rays.November 16, 2021Digital X-RayAlgorithm enhances survival predictions in lung cancerMonday, November 29 | 9:30 a.m.-10:00 a.m. | SSCH03-2 | Room TBAArtificial intelligence-based assessment of biological chest age on chest radiographs can help to predict survival in lung cancer patients, according to this presentation.November 16, 2021Digital X-RayModels predict mortality risk on total-body DEXA examsSunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-3 | Room TBAArtificial intelligence can spot changes in body composition over time on total-body dual-energy x-ray absorptiometry (DEXA) exams and predict mortality risk, according to this presentation.November 16, 2021Previous PagePage 27 of 388Next PageTop StoriesMolecular ImagingPET/CT scans show lung damage in stone workersThe metabolic activities occurring in the lungs of these patients have been unknown.CTSCCT: Study explores diagnostic accuracy of CCTACTSCCT: AI predicts coronary artery calcium scores from chest x-raysCTSCCT: CCTA model shows plaque volume changes in chest pain patientsSponsor ContentWhen CT meets the power of AI everyone benefits.
