Erik L. Ridley[email protected]Advanced VisualizationAI algorithm can predict severity, progression of COPDA deep-learning algorithm can enable accurate staging of chronic obstructive pulmonary disease (COPD), as well as predictions on five-year progression and mortality, according to research published online April 8 in Radiology: Cardiothoracic Imaging.April 8, 2021BreastMeta-analysis finds good news, bad news for radiology AI researchA meta-analysis of radiology artificial intelligence (AI) research found the technology had high overall accuracy in chest and breast imaging, but also widespread methodological and reporting issues that may preclude definitive assessments of clinical utility.April 8, 2021Image ProcessingHow well can AI software spot intracranial bleeding on head CT?Artificial intelligence (AI) software can flag suspected intracranial hemorrhage cases for radiologists. But do AI algorithms perform as well in the real world as they do in initial testing?April 5, 2021Image ProcessingVirtual surgical planning, 3D printing enhance maxillectomiesVirtual surgical planning and 3D-printed models can yield lower complication rates in maxillectomy reconstructions, according to research from the Mayo Clinic published online April 1 in JAMA Otolaryngology -- Head and Neck Surgery.April 1, 2021Image ProcessingRadiomics AI algorithm differentiates sclerotic bone lesionsA radiomics-based machine-learning model can differentiate bone islands and osteoblastic bone metastases on abdominal CT scans at a level comparable to an experienced radiologist, according to research published online March 30 in Radiology.March 31, 2021Radiation Oncology/TherapyASTRO survey finds rise in advanced-stage cancerThe disruption of cancer screening programs during the COVID-19 pandemic has had a very real impact. In a recent survey by the American Society for Radiation Oncology (ASTRO), 66% of radiation therapy practice leaders said that new patients are presenting with more advanced-stage cancers.March 29, 2021Image ProcessingAI, quantitative CT helps shed light on COVID-19 progressionQuantitative analysis with artificial intelligence (AI) of sequential CT exams in COVID-19 patients shows promise for standardized assessment and monitoring of disease progression, according to research published online March 25 in Scientific Reports.March 29, 2021AISurvey finds many radiologists still fear being replaced by AIAn international survey of over 1,000 radiologists and radiology residents has reported divergent opinions on artificial intelligence (AI). Although almost half had an open and proactive attitude about AI, nearly 40% feared being replaced by the technology.March 23, 2021AICXR-Age algorithm assesses biological age on chest radiographsA deep-learning algorithm called CXR-Age can estimate a patient's biological age on chest x-rays, enabling more accurate long-term mortality risk predictions than chronological age, according to research published March 17 in JACC: Cardiovascular Imaging.March 22, 2021MRIImaging findings help AI algorithm detect physical child abuseA deep-learning algorithm that includes analysis of imaging reports can identify children who have been physically abused, according to research published online March 18 in the Journal of Pediatric Surgery.March 18, 2021Previous PagePage 46 of 393Next PageTop StoriesHomeLLMs mostly avoid unnecessary care in Choosing Wisely testsLLMs recommended potentially unnecessary care in about 5% of responses, with many being thyroid ultrasound tests.Nuclear MedicineEANM: Thomas Hope on what’s next in FAP-targeted theranosticsCardiac ImagingMRI shows no ties between COVID, future heart inflammationMolecular ImagingEANM: Next-generation PET scanner cuts imaging time to one minuteAugmented/Virtual RealityVR boosts accuracy, confidence for evaluating abdominal neuroblastoma
