Erik L. Ridley[email protected]Advanced VisualizationCT textures predict interstitial lung disease survivalQuantitative analysis of texture patterns on CT exams in interstitial lung disease patients can yield better survival predictions than a radiologist's classification of usual interstitial pneumonia (UIP) versus non-UIP, according to research presented at last week's virtual ECR.July 22, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderJuly 20, 2020AIECR 2020: Radiologists, data scientists needed for AIGreater involvement by radiologists and more help from data scientists are needed to improve the performance of artificial intelligence (AI) algorithms and expand their use in clinical practice, a leading Spanish expert told ECR Online registrants on Thursday.July 16, 2020Molecular ImagingSNMMI 2020: AI analysis of PET could help classify prostate cancerAn artificial intelligence (AI) algorithm may be able to assist in classifying prostate lesions on 3D prostate-specific membrane antigen-PET exams, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).July 16, 2020Molecular ImagingSNMMI 2020: PET tracer could image, treat glioblastomaA new, relatively long-lived PET tracer can safely and effectively image patients with glioblastoma, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI). The tracer also shows potential as a radiotheragnostic agent.July 14, 2020Nuclear MedicineSNMMI 2020: AI can aid in diagnosis of Parkinson's diseaseAn artificial intelligence (AI) algorithm was highly accurate for diagnosing Parkinson's disease on dopamine transporter SPECT exams, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).July 13, 2020HomeWeek in Review: COVID-19's manifestations | AI and medical students | Intimate partner violenceJuly 10, 2020Clinical NewsPandemic sharply impacted imaging volume, operationsThe COVID-19 pandemic drastically impacted imaging volume for radiology practices throughout the country and necessitated a variety of challenging operational adjustments. And some of these changes may be long-lasting, according to research published online July 9 in the Journal of the American College of Radiology.July 9, 2020AIAre U.S. medical students avoiding radiology due to AI?If results from a survey of medical students in the U.S. are any indication, the misperception that artificial intelligence (AI) will replace radiologists poses by far a bigger threat to the specialty than the technology itself, according to research published online June 27 in Current Problems in Diagnostic Radiology.July 8, 2020Digital X-RayCOVID-19 patients face higher risk of barotraumaPatients with COVID-19 who require invasive mechanical ventilation are more likely to experience barotrauma such as pneumothorax and pneumomediastinum than those without the disease, according to research published online July 2 in Radiology. And younger patients with COVID-19 were particularly at risk for these serious events.July 6, 2020Previous PagePage 56 of 389Next PageTop StoriesAIAI model shows promise for diagnosing prostate cancerThe sensitivity of the model was comparable to that of nuclear medicine physicians.CT'Habitat' AI model helps stratify lung nodule disease risk on LDCTMRICE MRI-based radiomics model captures DEB TACE-induced tumor changesUltrasoundPOCUS performs well in assessing pathologic venous congestionCTMachine learning plus CT helps assess severity of COPD
