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3. Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction

10. Do the newly proposed realignment targets for C2 and T1 slope bridge the gap between radiographic and clinical success in corrective surgery for adult cervical deformity?

11. 139 Automated deep learning quantification of epicardial adiposity on cardiac ct predicts atrial fibrillation risk immediately following cardiac surgery and long-term

14. Abstract 11962: Applying a Deep-Learning Approach for Automated Quantification of Epicardial Adipose Tissue on Coronary Computed Tomography Angiography in Challenging Clinical Populations

15. Abstract 13475: Epicardial Adiposity Measured by a Deep Learning Network, Predicts Mortality and Cardiovascular Events in Patients Undergoing Cardiac CT

16. TCT-958 Incidence of Subclinical Bioprosthetic Mitral Valve Thrombosis: Systematic Review and Meta-Analysis.

17. The effect of CETP inhibitors on new-onset diabetes: a systematic review and meta-analysis.

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