Erik L. Ridley[email protected]CTAI can detect, characterize kidney stonesMonday, November 27 | 3:40 p.m.-3:50 p.m. | SSE12-05 | Room E353AAn artificial intelligence (AI) algorithm can be used to accurately detect and characterize kidney stones, according to researchers from Boston.November 5, 2017AIMachine learning can help diagnose Crohn's diseaseMonday, November 27 | 11:50 a.m.-12:00 p.m. | SSC05-09 | Room E451AA machine-learning technique can diagnose Crohn's disease with high sensitivity and specificity, researchers from Italy report.November 5, 2017MRIAI exploits tumor imaging features to predict survivalMonday, November 27 | 11:50 a.m.-12:00 p.m. | SSC04-09 | Room E353AArtificial intelligence (AI) can make use of tumor heterogeneity features on MRI to accurately predict the survival of metastatic colon cancer patients, according to a study by Harvard researchers.November 5, 2017AIDeep learning helps find lung nodules on chest x-rayMonday, November 27 | 11:00 a.m.-11:10 a.m. | SSC03-04 | Room S504CDA U.K. team has found that deep learning-powered computer-aided detection software could potentially act as a second reader for chest radiographs.November 5, 2017AIAI detects large pneumothoraces on chest x-raySunday, November 26 | 12:05 p.m.-12:15 p.m. | SSA12-09 | Room S403AArtificial intelligence (AI) algorithms can automatically detect large pneumothoraces on chest x-ray -- potentially speeding up detection and reporting of these critical findings, according to researchers from Philadelphia.November 5, 2017AIDeep learning can identify malpositioned feeding tubesSunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA12-07 | Room S403AIn this talk, researchers will highlight the potential of deep learning for speeding up the detection of malpositioned feeding tubes in critically ill patients.November 5, 2017CTMachine learning may enhance utility of FFR-CTSunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA04-07 | Room S504ABA machine-learning algorithm shows potential for facilitating the use of fractional flow reserve (FFR) calculations on coronary CT angiography studies, according to research being presented in this scientific session.November 5, 2017AIChest x-ray algorithm shows why it made its diagnosisSunday, November 26 | 11:35 a.m.-11:45 a.m. | SSA12-06 | Room S403AA team from India will present a deep-learning algorithm that highlights the areas of the chest x-ray that led to the algorithm's diagnosis.November 5, 2017AIDeep learning can assess malignancy risk of lung nodulesSunday, November 26 | 10:55 a.m.-11:05 a.m. | SSA12-02 | Room S403AIn this scientific session, researchers will describe how a deep-learning algorithm can provide an objective measure for assessing the malignancy risk of a lung nodule.November 5, 2017AIAI can predict invasiveness of lung adenocarcinomaSunday, November 26 | 10:45 a.m.-10:55 a.m. | SSA05-01 | Room S404CDA Japanese group has found that an artificial intelligence (AI) algorithm can predict the level of pathological invasiveness of lung adenocarcinoma nearly as accurately as a highly experienced radiologist.November 5, 2017Previous PagePage 113 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
