Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement.

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第一作者： Tarig,Elhakim

第一单位： Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. Tarigelhakim@gmail.com.;Massachusetts General Hospital, Boston, MA, USA. Tarigelhakim@gmail.com.

作者： Tarig,Elhakim ^[1] ; Arian,Mansur ^[2] ; Jordan,Kondo ^[3] ; Omar Moustafa Fathy,Omar ^[4] ; Khalid,Ahmed ^[5] ; Azadeh,Tabari ^[6] ; Allison,Brea ^[7] ; Gabriel,Ndakwah ^[8] ; Shams,Iqbal ^[6] ; Andrew S,Allegretti ^[6] ; Florian J,Fintelmann ^[6] ; Eric,Wehrenberg-Klee ^[6] ; Christopher,Bridge ^[6] ; Dania,Daye ^[6]

作者单位： Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. Tarigelhakim@gmail.com.;Massachusetts General Hospital, Boston, MA, USA. Tarigelhakim@gmail.com. ^[1] Harvard Medical School, Boston, MA, USA. ^[2] Brigham and Womens, Boston, MA, USA. ^[3] University of Connecticut School of Medicine, Farmington, CT, USA. ^[4] University of Minnesota School of Medicine, Minneapolis, MN, USA. ^[5] Massachusetts General Hospital, Boston, MA, USA.;Harvard Medical School, Boston, MA, USA. ^[6] Tufts University School of Medicine, Boston, MA, USA. ^[7] Massachusetts Institute of Technology, Boston, USA. ^[8]

关键词 Artificial intelligence CT body composition Machine learning TIPS prognostication