Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis

Winnie Y. Zou, Binu E. Enchakalody, Peng Zhang, Nidhi Shah, Sameer D. Saini, Nicholas C. Wang, Stewart C. Wang, Grace L. Su – 6 July 2021 – Body composition measures derived from already available electronic medical records (computed tomography [CT] scans) can have significant value, but automation of measurements is needed for clinical implementation. We sought to use artificial intelligence to develop an automated method to measure body composition and test the algorithm on a clinical cohort to predict mortality.

Proximal Splenic Artery Embolization to Treat Refractory Ascites in a Patient With Cirrhosis

Cristian Caporali, Laura Turco, Francesco Prampolini, Pietro Quaretti, Marcello Bianchini, Dario Saltini, Francesca Miceli, Federico Casari, Davide Felaco, Juan Carlos Garcia‐Pagan, Jonel Trebicka, Marco Senzolo, Gian Piero Guerrini, Fabrizio Di Benedetto, Pietro Torricelli, Erica Villa, Filippo Schepis – 3 July 2021

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