Benjamin Shickel

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Acute Kidney Injury

Intensive Care Unit

Top Venues

PLOS digital health

Scientific reports

Nature reviews. Nephrology

Research square

This page only lists publications with an associated author ORCID identifier.

Publications

Parisa Rashidi, Miguel Contreras, Brandon Silva, Benjamin Shickel, Andrea Davidson, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Jeremy A Balch, Jiaqing Zhang, Sabyasachi Bandyopadhyay, Tyler Loftus, Kia Khezeli, Subhash Nerella, Azra Bihorac
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life Sustaining Therapies Prediction Model. Research square (2024)
Benjamin Shickel, Azra Bihorac
The dawn of multimodal artificial intelligence in nephrology. Nature reviews. Nephrology 20 (2) (2024)
Miguel Contreras, Brandon Silva, Benjamin Shickel, Andrea Davidson, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Jeremy A Balch, Jiaqing Zhang, Sabyasachi Bandyopadhyay, Tyler Loftus, Kia Khezeli, Subhash Nerella, Azra Bihorac, Parisa Rashidi
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model. Research square (2024)
Benjamin Shickel, Azra Bihorac
The dawn of multimodal artificial intelligence in nephrology. Nature reviews. Nephrology 20 (2) (2024)
Benjamin Shickel, Tyler J Loftus, Matthew Ruppert, Gilbert R Upchurch, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Azra Bihorac
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks. Scientific reports 13 (1) (2023)
Benjamin Shickel, Azra Bihorac
The dawn of multimodal artificial intelligence in nephrology. Nature reviews. Nephrology (2023)
Kia Khezeli, Scott Siegel, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi
Reinforcement Learning for Clinical Applications. Clinical journal of the American Society of Nephrology : CJASN (2023)
Benjamin Shickel, Tyler J Loftus, Yuanfang Ren, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Digital Health Transformers and Opportunities for Artificial Intelligence-Enabled Nephrology. Clinical journal of the American Society of Nephrology : CJASN (2023)
Benjamin Shickel, Tyler J Loftus, Matthew Ruppert, Gilbert R Upchurch, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Azra Bihorac
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks. Scientific reports 13 (1) (2023)
Kianoush B Kashani, Linda Awdishu, Sean M Bagshaw, Erin F Barreto, Rolando Claure-Del Granado, Barbara J Evans, Lui G Forni, Erina Ghosh, Stuart L Goldstein, Sandra L Kane-Gill, Jejo Koola, Jay L Koyner, Mei Liu, Raghavan Murugan, Girish Nitin Nadkarni, Javier A Neyra, Jacob Ninan, Marlies Ostermann, Neesh Pannu, Parisa Rashidi, Claudio Ronco, Mitchell H Rosner, Nicholas M Selby, Benjamin Shickel, Karandeep Singh, Danielle E Soranno, Scott M Sutherland, Azra Bihorac, Ravindra L Mehta
Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup. Nature reviews. Nephrology (2023)
Benjamin Shickel, Tyler J Loftus, Matthew Ruppert, Gilbert R Upchurch, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Azra Bihorac
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks. Scientific reports 13 (1) (2023)
Benjamin Shickel, Nicholas Lucarelli, Adish S Rao, Donghwan Yun, Kyoung Chul Moon, Seung Seok Han, Pinaki Sarder
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide Images. medRxiv : the preprint server for health sciences (2023)
Benjamin Shickel, Nicholas Lucarelli, Adish S Rao, Donghwan Yun, Kyoung Chul Moon, Seung Seok Han, Pinaki Sarder
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide Images. medRxiv : the preprint server for health sciences (2023)
Benjamin Shickel, Tyler J Loftus, Matthew Ruppert, Gilbert R Upchurch, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Azra Bihorac
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks. Scientific reports 13 (1) (2023)
Yuanfang Ren, Tyler J Loftus, Yanjun Li, Ziyuan Guan, Matthew M Ruppert, Shounak Datta, Gilbert R Upchurch, Patrick J Tighe, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Physiologic signatures within six hours of hospitalization identify acute illness phenotypes. PLOS digital health 1 (10) (2022)
Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac
Uncertainty-aware deep learning in healthcare: A scoping review. PLOS digital health 1 (8) (2022)
Yuanfang Ren, Tyler J Loftus, Yanjun Li, Ziyuan Guan, Matthew M Ruppert, Shounak Datta, Gilbert R Upchurch, Patrick J Tighe, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Physiologic signatures within six hours of hospitalization identify acute illness phenotypes. PLOS digital health 1 (10) (2022)
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, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
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, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
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, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
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, Parisa Rashidi, Azra Bihorac
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. PLOS digital health 1 (1) (2022)
Yuanfang Ren, Tyler J Loftus, Yanjun Li, Ziyuan Guan, Matthew M Ruppert, Shounak Datta, Gilbert R Upchurch, Patrick J Tighe, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Physiologic signatures within six hours of hospitalization identify acute illness phenotypes. PLOS digital health 1 (10) (2022)
Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac
Uncertainty-aware deep learning in healthcare: A scoping review. PLOS digital health 1 (8) (2022)
Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac
Uncertainty-aware deep learning in healthcare: A scoping review. PLOS digital health 1 (8) (2022)
Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scott Siegel, Seth Williams, Matthew M Ruppert, Emel Bihorac, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Azra Bihorac, Parisa Rashidi
Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning. Scientific reports 9 (1) (2019)
Benjamin Shickel, Tyler J Loftus, Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning. Scientific reports 9 (1) (2019)