A "habitat" AI model shows promise for quantifying spatial heterogeneity between lung lesions and could help clinicians better stratify disease...
Longitudinal contrast-enhanced MRI-based radiomics may soon predict long-term response in treating hepatocellular carcinoma (HCC), a common type of liver cancer,...
Point-of-care ultrasound (POCUS) provides a reliable assessment of venous excess ultrasound (VExUS), comparable to conventional systems, suggest findings published August...
Older patients may benefit most from active imaging and pathology surveillance of small, low-risk papillary thyroid cancer, according to research...
A machine-learning model based on chest CT images accurately predicts lung function -- which can then help clinicians better diagnose...
Dear AuntMinnie Member, Since its U.S. approval in 2020, F-18 fluoroestradiol (FES) PET/CT has proven highly effective for diagnosing distant metastasis or...
F-18 fluoroestradiol (FES) PET/CT has excellent specificity and moderate sensitivity for diagnosing axillary lymph node metastasis in women with invasive lobular...
A hybrid reading strategy for screening mammography using AI and radiologists showed success in a study published August 19 in...
Implementing a structured CT reporting tool for patients with Roux-en-Y gastric bypass (RYGB) surgery history could prevent missing internal hernia...
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