Hypertrophic cardiomyopathy (HCM) is a myocardial disorder characterized by unexplained myocardial hypertrophy. Although the diagnosis of HCM is traditionally based on increased left ventricular (LV) wall thickness, contemporary management requires a comprehensive multimodality imaging approach to accurately define disease phenotype, assess functional consequences, and guide risk stratification. Transthoracic echocardiography remains the first-line imaging modality, providing… Continue reading Multimodality imaging in #hypertrophic #cardiomyopathy
Category: radiology
Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting
Question Is clinical use of artificial intelligence (AI)–generated draft radiograph reports associated with documentation efficiency, clinical accuracy, textual quality, and ability to promptly detect pneumothorax requiring intervention?Findings In this cohort study, in 11 980 model-assisted radiograph interpretations in live clinical care, model use was associated with a 15.5% documentation efficiency improvement, with no change in radiologist-evaluated… Continue reading Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting
AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults
BackgroundBody composition data have been limited to adults with disease or older age. The prognostic impact in otherwise asymptomatic adults is unclear.PurposeTo use artificial intelligence–based body composition metrics from routine abdominal CT scans in asymptomatic adults to clarify the association between obesity, liver steatosis, myopenia, and myosteatosis and the risk of mortality. Materials and MethodsIn… Continue reading AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults