Erik L. Ridley[email protected]Image Processing3D-printed surgical guides enhance breast conservation therapy3D-printed surgical guides can be useful in breast conservation surgery performed on breast cancer patients after neoadjuvant systemic therapy, according to research published online February 9 in Scientific Reports.February 11, 2021CTAI can predict need for steroid treatments in COVID-19 patientsDeep learning-based analysis of chest CT exams can predict if COVID-19 patients will need to be treated with steroids, as well as monitor their progression, according to a recent webinar presentation.February 10, 2021CTDeep-learning algorithm can detect, quantify aortic valve calciumResearchers from South Korea reported that their artificial intelligence (AI) model was highly accurate for automatically detecting and quantifying aortic valve calcium on cardiac CT, even outperforming radiologist assessments in severe cases.February 8, 2021CTNew COVID-19 AI models offer promising resultsDeep-learning models that have been trained on datasets from multiple institutions around the world yield promising and generalizable results for identifying COVID-19 pneumonia on chest CT exams, as well as in predicting adverse patient outcomes.February 7, 2021MRIMRI-targeted biopsy shows value in prostate cancerMultiparametric MRI-targeted biopsy for clinically significant prostate cancer can yield detection rates similar to systematic transrectal ultrasound-guided biopsy, while potentially enabling over one-third of prostate biopsies to be avoided, according to research published online February 4 in JAMA Oncology.February 4, 2021AIAI for image interpretation: Friend or foe to radiologists?Will using artificial intelligence (AI) for image interpretation tasks help radiologists enhance their value or will it eventually lead to fewer radiologist jobs? Point/counterpoint articles published online February 3 in the American Journal of Roentgenology shared two potential visions for radiology's future.February 3, 2021CTAI predicts cardiovascular risk on routine chest CTAn artificial intelligence (AI) algorithm was able to predict patients' risk for future cardiovascular events by quantifying their coronary artery calcium on routine chest CT exams, according to research published online January 29 in Nature Communications.February 2, 2021MRIStudy finds racial disparities in pediatric ED imagingNon-Hispanic Black and Hispanic children are significantly less likely to receive a diagnostic imaging study when visiting an emergency department (ED) than non-Hispanic white patients, according to analysis of over 13 million pediatric ED visits published online January 29 in JAMA Network Open.January 28, 2021BreastWhen should breast cancer survivors discontinue mammo?Older breast cancer survivors who have less than five years of life expectancy should no longer undergo routine surveillance mammography -- even if they have a history of high-risk cancers, according to new guidelines published online January 28 in JAMA Oncology by a multidisciplinary panel.January 27, 2021BreastMirai AI model upgrades breast cancer risk assessmentAn artificial intelligence (AI) algorithm called Mirai can outperform other risk-assessment models for predicting future risk of breast cancer from a mammogram, potentially enabling earlier identification of high-risk women, according to research published online January 27 in Science Translational Medicine.January 27, 2021Previous PagePage 45 of 388Next PageTop StoriesDigital X-RayCan eye gaze data from radiologists make AI more human?Researcher Jeremy Wolfe, MD, discusses an emerging trend of integrating eye gaze data from radiologists into AI algorithms.PodcastsPodcast: Bryan discusses surviving radiology cuts, 2-year lockdown, and categorical changePractice ManagementMICI Q3: Radiology administrators mixed on the state of medical imagingMolecular ImagingBrain PET tracer delivered intranasally for first time in humansSponsor ContentWhen time is of the essence
