Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions by Arian Mansur, Zain Saleem, Tarig Elhakim, Dania Daye

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Role of Machine Learning-Based CT Body Composition in Risk Prediction and Prognostication: Current State and Future Directions by Tarig Elhakim, Kelly Trinh, Arian Mansur, Christopher Bridge, Dania Daye

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Quantitative peritumoral magnetic resonance imaging fingerprinting improves machine learning-based prediction of overall survival in colorectal cancer by Azadeh Tabari, Brian D’Amore, Janice Noh, Michael S. Gee, Dania Daye

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The double-balloon technique: a safe and effective adjunctive technique in patients undergoing arterial therapy for hepatic malignancies with vascular supply not amenable to select... by Mari Tanaka, Raul Uppot, Dania Daye, Raymond Liu, Eric Wehrenberg-Klee

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From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer by Satvik Tripathi, Azadeh Tabari, Arian Mansur, Harika Dabbara, Christopher P. Bridge, Dania Daye

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Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease. by Meredith Cox, J C Panagides, Azadeh Tabari, Sanjeeva Kalva, Jayashree Kalpathy-Cramer, Dania Daye

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A nationwide assessment of perceptions of research-intense academic careers among predoctoral MD and MD-PhD trainees by Jennifer M. Kwan, Omar Toubat, Andrew M. Harrison, Megan Riddle, Brian Wu, Hajwa Kim, David W. Basta, Alexander J. Adami, Dania Daye

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The Virtual Summer Research Program: supporting future physician-scientists from underrepresented backgrounds by Briana Macedo, Briana Christophers, Rio Barrere-Cain, Yentli Soto Albrecht, Michael C. Granovetter, Rachit Kumar, Dania Daye, Elizabeth Bhoj, Lawrence Brass, Jose Alexandre Rodrigues

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Preventing inadvertent drain removal using a novel catheter securement device by Mario Russo, John Di Capua, April Anlage, Hersh Bendre, Jon Kusner, Graham Lieberman, Sean Jang, Zubin Irani, Ronald S. Arellano, Patrick D. Sutphin, Sara Smolinski-Zhao, Dania Daye, Sanjeeva P. Kalva, Marc D. Succi, Avik Som, Ashraf Thabet

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