Erik L. Ridley[email protected]Artificial IntelligenceAI helps to forecast oxygen need in COVID-19 casesAn artificial intelligence (AI) algorithm that predicts the necessity for supplemental oxygen in COVID-19 patients is gaining acceptance globally. It uses information from chest x-rays and patient data from the electronic health record.October 7, 20203D PrintingAuntMinnieEurope.com Advanced Visualization InsiderSeptember 30, 2020Clinical NewsMuscle measurements foretell liver resection morbidityMeasurements of muscle mass on preoperative CT scans can be used in liver cancer patients to help identify the presence of sarcopenia, a risk factor that's associated with worse short-term outcomes after liver resection, Italian researchers reported in a study published online on 23 September in JAMA Surgery.September 30, 2020Clinical News3D printing gives hope to patients with aortic stenosisUsing a customized 3D printing process and specialized inks, researchers have developed a novel technique for producing patient-specific aortic root models from CT scans. They think it will improve the planning of transcatheter aortic valve replacement procedures and reduce complications.September 29, 2020Artificial IntelligenceHow AI can help boost efficiency and cut stressArtificial intelligence (AI) enables medical imaging staff to navigate the future in various ways, including raising efficiency, speeding up examination times, and improving workflow, according to Dr. Eliot Siegel. Don't miss part 2 of our coverage of his talk at the AuntMinnie.com Fall 2020 Virtual Conference.September 24, 2020Artificial IntelligencePandemic leads to more fatigue and burnout, Siegel warnsThe COVID-19 pandemic has not only created new challenges for imaging but also exacerbated some existing ones, such as fatigue, stress, and burnout, informatics expert Dr. Eliot Siegel told AuntMinnie.com Fall 2020 Virtual Conference attendees on 22 September.September 23, 2020Clinical NewsExperience matters in detection of COVID-19 pneumoniaItalian investigators have revealed that the capability of radiologists to detect COVID-19 pneumonia on chest x-rays grew over time, as they gained experience. This also applied to readers with less x-ray experience, they noted in an online article posted on 10 September in the European Journal of Radiology.September 17, 2020Artificial IntelligenceAuntMinnieEurope.com Artificial Intelligence InsiderSeptember 16, 2020Artificial IntelligenceSynthetic lesions boost AI stroke detection resultsAfter training on a dataset that included tens of thousands of synthetic images, an artificial intelligence (AI) algorithm produced over 90% sensitivity for detecting clinical stroke lesions on MRI, Swiss researchers reported in a study published online on 16 September in Radiology: Artificial Intelligence.September 16, 2020Artificial IntelligenceAI aids diagnosis of heart failure on chest x-raysDeep learning is useful for diagnosing heart failure on x-ray images, researchers reported at the recent European Society of Cardiology virtual congress. They used chest x-rays from a publicly available database to train an artificial intelligence (AI) algorithm that yielded 82% accuracy for detecting heart failure on a test dataset.September 15, 2020Previous PagePage 10 of 58Next PageTop StoriesCTBelgium moves ahead with novel radiology referral schemeAn initiative is underway in Belgium to improve the justification and appropriateness of radiology referrals. But will it succeed? Prof. Erik Ranschaert gives his opinion.CTAssessing CT image quality: Which method is best?CTCT pearls from Ireland’s top orthopedic hospitalMolecular ImagingSPECT/CT identifies prostate cancer patients with poor outcomesUltrasoundMore ultrasound cuts risks in pregnancies with less fetal movement