A comprehensive narrative review synthesizes evidence from fifty observational studies on diastasis recti abdominis, highlighting substantial diagnostic heterogeneity and proposing ...
A retrospective study indicates that CT-derived coronary artery calcification scores show no prognostic association with overall survival or transplant complications ...
A retrospective study demonstrated that computed tomography body-composition metrics and clinical features accurately predict major pathological response to neoadjuvant immunochemotherapy ...
A systematic review of 113 clinical studies demonstrates the rapid expansion of computed tomography for quantifying myocardial extracellular volume and ...
A retrospective study of seventy-two lung adenocarcinoma patients indicates that quantitative spectral parameters from photon-counting computed tomography can noninvasively assist ...
A dual-pathway AI framework combines impact-echo and ultrasonic signal analysis with CT imaging to detect hidden grouting defects and quantify ...
Researchers developed a hybrid machine learning pipeline using transfer-learned CT features to accurately predict postoperative pulmonary function without requiring baseline ...
A nationwide screening study reveals an elevated incidence of congenital portosystemic shunts in Finnish miniature schnauzer puppies, indicating potential heritable ...
Researchers have developed a diagnostic framework combining persistent homology and machine learning that detects COVID-19 in chest computed tomography scans ...
A retrospective cross-sectional study found that the mean platelet volume-to-platelet ratio does not independently predict coronary artery calcium burden in ...
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