Erik L. Ridley[email protected]Practice ManagementAuntMinnie.com Imaging Leaders InsiderSeptember 7, 2022MRIFeedback to referring doctors can reduce MSK imaging overuseGiving referring physicians feedback on their exam request patterns reduced the number of unnecessary musculoskeletal (MSK) imaging exams ordered by about 10%, according to research from Australia published September 6 in JAMA.September 6, 2022CTCan CT radiomics predict NSCLC immunotherapy response?CT radiomics, pathology, and genomics data can enable an artificial intelligence (AI) algorithm to predict if a non-small cell lung cancer (NSCLC) patient will respond to immunotherapy, according to research published August 29 in Nature Cancer.September 1, 2022Image ProcessingCT body composition, AI foretell future cardiovascular eventsArtificial intelligence (AI)-based analysis of body composition on routine abdominal CT exams can predict a patient's future risk of a heart attack or stroke, according to research published August 31 in the American Journal of Roentgenology.August 30, 2022UltrasoundAI bests sonographers for assessment of cardiac functionAn artificial intelligence (AI) model could better assess cardiac function on echocardiography than the sonographers performing the exams, according to research presented August 28 at the European Society of Cardiology Congress in Barcelona.August 29, 2022MRIWith federated learning, AI's sum is better than its partsAn artificial intelligence (AI) algorithm trained using a federated-learning approach yielded significant performance improvements in detecting pathology on brain MRI exams, according to research published August 25 in Nature Machine Intelligence.August 28, 2022Practice ManagementBurnout common among private-practice radiologist leadersOne out of three radiologist leaders in private practices are experiencing burnout, often because of difficulties in managing stress, according to research published online August 24 in Clinical Imaging.August 25, 2022AIHandle data properly to limit bias in radiology AI modelsBias must be minimized in radiology artificial intelligence (AI) algorithms to enable clinical adoption. And that process should begin with proper data handling, according to an article published August 24 in Radiology: Artificial Intelligence.August 24, 2022Image ProcessingDoes FFR-CT really offer value in real-world practice?In real-world clinical practice, fractional flow-reserve CT (FFR-CT) software may not yield any improvement over standard radiological assessment of coronary artery disease, according to research published August 18 in Clinical Radiology.August 23, 2022Clinical NewsNonphysician providers find growing role in radiology practicesNonphysician practitioners are increasingly being employed by radiology practices -- they're taking on more work, according to research published August 22 in the Journal of the American College of Radiology.August 22, 2022Previous PagePage 13 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.
