Research Impact

2022

“Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform,” Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew M. Ruppert, Ziyuan Guan, Shunshun Miao, Benjamin Shickel, Zheng Feng, Chris Giordano, Gilbert R. Upchurch Jr, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, and Azra Bihorac, JAMA Network Open, vol. 5, issue 5.

“Clinical Trajectories of Acute Kidney Injury in Surgical Sepsis: A Prospective Observational Study,” Tezcan Ozrazgat-Baslanti, Tyler Loftus, Rajesh Mohandas, Quran Wu, Scott Brakenridge, Babette Brumback, Philip A. Efron, Stephen Anton, Frederick A. Moore, Lyle L. Moldawer, Mark S. Segal, and Azra Bihorac, Annals of Surgery, vol. 275, issue 6.

“Ideal Algorithms in Healthcare: Explainable, Dynamic, Precise, Autonomous, Fair, and Reproducible,” Tyler J. Loftus, Patrick J. Tighe, Tezcan Ozrazgat-Baslanti, John P. Davis, Matthew M. Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R. Hogan, J. Randall Moorman, Gilbert R. Upchurch Jr, Parisa Rashidi, and Azra Bihorac, PLOS Digital Health, vol. 1, issue 1.

2021

“Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit Using Flexible Multimodal Transformers,” Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, and Parisa Rashidi, arXiv, arXiv:2111.05431v1, Nov. 2021.

“Reinforcement Learning in Surgery,” Shounak Datta, Yanjun Li, Matthew M. Ruppert, Yuanfang Ren, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, and Azra Bihorac, Surgery, vol. 170, issue 1.

“Advances in Artificial Intelligence and Deep Learning Systems in ICU-Related Acute Kidney Injury,” Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Yuanfang Ren, Matthew Ruppert, and Azra Bihorac, Current Opinion in Critical Care, vol. 27, issue 6.

2020

“Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey,” Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, and Parisa Rashidi, IEEE Access, vol. 8.

“Artificial Intelligence and Surgical Decision-Making,” Tyler J. Loftus, Patrick J. Tighe, Amanda C. Filiberto, Philip A. Efron, Scott C. Brakenridge, Alicia M. Mohr, Parisa Rashidi, Gilbert R. Upchurch Jr., and Azra Bihorac, JAMA Surgery, vol. 155, issue 2.

“Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension,” Shounak Datta, Tyler J.Loftus, Matthew M. Ruppert, Chris Giordano, Gilbert R. Upchurch Jr., Parisa Rashidi, Tezcan Ozrazgat-Baslanti, and Azra Bihorac, Journal of Surgical Research, vol. 254.

“COVID-19-Associated Acute Kidney Injury: Consensus Report of the 25th Acute Disease Quality Initiative (ADQI) Workgroup,” Mitra K. Nadim, Lui G. Forni, Ravindra L. Mehta, Michael J. Connor Jr., Kathleen D. Liu, Marlies Ostermann, Thomas Rimmelé, Alexander Zarbock, Samira Bell, Azra Bihorac, et al., Nature Reviews Nephrology, vol. 16.

“Identification and Validation of Biomarkers of Persistent Acute Kidney Injury: The RUBY Study,” Eric Hoste, Azra Bihorac, et al., Intensive Care Medicine, vol. 46.

“Contemporary Management of Severe Acute Kidney Injury and Refractory Cardiorenal Syndrome JACC Council Perspectives,” Jacob C.Jentzer, Azra Bihorac, et al., Journal of the American College of Cardiology, vol. 76, issue 9.

2019

“DeepSOFA: A Continuous Acuity Score for Critically Ill Patients Using Clinically Interpretable Deep Learning,” Benjamin Shickel, Tyler J. Loftus, Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Azra Bihorac, and Parisa Rashidi, Scientific Reports, vol. 9.

“Comparing Clinical Judgment with the MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Usability Study,” Meghan Brennan, Sahil Puri, Tezcan Ozrazgat-Baslanti, Zheng Feng, Matthew Ruppert, Haleh Hashemighouchani, Petar Momcilovic, Xiaolin Li, Daisy Zhe Wang, and AzraBihorac, Surgery, Vol. 165, Issue 5.

“MySurgeryRisk: Development and Validation of a Machine-Learning Risk Algorithm for Major Complications and Death After Surgery,” Azra Bihorac, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Amir Motaei, Mohcine Madkour, Panagote M. Pardalos, Gloria Lipori, William R. Hogan, Philip A. Efron, Frederick Moore, Lyle L. Moldawer, Daisy Zhe Wang, Charles E. Hobson, Parisa Rashidi, Xiaolin Li, and Petar Momcilovic, Annals of Surgery, Vol. 269, Issue 4.

“Quality Improvement Goals for Acute Kidney Injury,” Kianoush Kashani, Mitchell Howard Rosner, Michael Haase, Andrew J.P. Lewington, Donal J. O’Donoghue, F. Perry Wilson, Mitra K. Nadim, Samuel A. Silver, Alexander Zarbock, Marlies Ostermann, Ravindra L. Mehta, Sandra L. Kane-Gill, Xiaoqiang Ding, Peter Pickkers, Azra Bihorac, et al., Clinical Journal of the American Society of Nephrology, vol. 14, issue 6.

2018

“Outcomes in Patients with Vasodilatory Shock and Renal Replacement Therapy Treated with Intravenous Angiotensin II,” James A. Tumlin, Raghavan Murugan, Adam M. Deane, Marlies Ostermann, Laurence Busse, Kealy R. Ham, Kianoush Kashani, Harold M. Szerlip, John R. Prowle, Azra Bihorac, et al., Critical Care Medicine, vol. 46, issue 6.

2017

“Acute Kidney Disease and Renal Recovery: Consensus Report of the Acute Disease Quality Initiative (ADQI) 16 Workgroup,” Lakhmir S. Chawla, Rinaldo Bellomo, Azra Bihorac, et al., Nature Reviews Nephrology, vol. 13.

“Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis,” Benjamin Shickel, Patrick James Tighe, Azra Bihorac, and Parisa Rashidi, IEEE Journal of Biomedical and Health Informatics, vol. 22, issue 5.

“Recovery after Acute Kidney Injury,” John A. Kellum, Florentina E. Sileanu, Azra Bihorac, Eric A. J. Hoste, and Lakhmir S. Chawla, American Journal of Respiratory and Critical Care Medicine, vol. 195, issue 6.

“Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment,” Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac, and Xiaolin Li, 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress, Nov 2017.

2016

“Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications,” Paul Thottakkara, Tezcan Ozrazgat-Baslanti, Bradley B. Hupf, Parisa Rashidi, Panos Pardalos, Petar Momcilovic, and Azra Bihorac, PLOS ONE, volume 11, issue 5.

2013

“Discovery and Validation of Cell Cycle Arrest Biomarkers in Human Acute Kidney Injury,” Kianoush Kashani, Ali Al-Khafaji, Thomas Ardiles, Antonio Artigas, Sean M Bagshaw, Max Bell, Azra Bihorac, et al., Critical Care, vol. 17.

2009

“Acute Kidney Injury Is Associated with Increased Long-Term Mortality after Cardiothoracic Surgery,” Charles E. Hobson, Sinan Yavas, Mark S. Segal, Jesse D. Schold, Curtis G. Tribble, A. Joseph Layon, and Azra Bihorac, Circulation, vol. 119, issue 18.