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Benjamin Shickel

Showing results (1-10 of 71) with videos related to

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Nature Reviews. Nephrology|December 14, 2023
The dawn of multimodal artificial intelligence in nephrologyBenjamin Shickel, Azra Bihorac
Current Opinion in Nephrology and Hypertension|September 8, 2025
Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injuryBenjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
JAMA Surgery|July 9, 2025
Large Language Models for Surgical Workflow OptimizationJayson S Marwaha, Benjamin Shickel, Tyler J Loftus
Annals of Surgery|March 26, 2026
The Bitter Lesson and its Implications for Surgical Artificial IntelligenceJeremy A Balch, Benjamin Shickel, Tyler J Loftus
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Deep neural network architectures for forecasting analgesic responsePaul Nickerson, Patrick Tighe, Benjamin Shickel, et al.
IEEE Journal of Biomedical and Health Informatics|July 11, 2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) AnalysisBenjamin Shickel, Patrick James Tighe, Azra Bihorac, et al.
Critical Care (London, England)|July 29, 2024
Artificial intelligence in acute medicine: a call to actionMaurizio Cecconi, Massimiliano Greco, Benjamin Shickel, et al.
Frontiers in Digital Health|June 3, 2022
Potentials and Challenges of Pervasive Sensing in the Intensive Care UnitAnis Davoudi, Benjamin Shickel, Patrick James Tighe, et al.
Frontiers in Cardiovascular Medicine|June 4, 2024
An explainable machine learning approach using contemporary UNOS data to identify patients who fail to bridge to heart transplantationMamoun T Mardini, Chen Bai, Maisara Bledsoe, et al.
Clinical Journal of the American Society of Nephrology : CJASN|February 7, 2023
Reinforcement Learning for Clinical ApplicationsKia Khezeli, Scott Siegel, Benjamin Shickel, et al.
Pageof 8

Showing results (1-10 of 71) with videos related to

Sort By:
Pageof 8
Nature Reviews. Nephrology|December 14, 2023
The dawn of multimodal artificial intelligence in nephrologyBenjamin Shickel, Azra Bihorac
Current Opinion in Nephrology and Hypertension|September 8, 2025
Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injuryBenjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
JAMA Surgery|July 9, 2025
Large Language Models for Surgical Workflow OptimizationJayson S Marwaha, Benjamin Shickel, Tyler J Loftus
Annals of Surgery|March 26, 2026
The Bitter Lesson and its Implications for Surgical Artificial IntelligenceJeremy A Balch, Benjamin Shickel, Tyler J Loftus
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Deep neural network architectures for forecasting analgesic responsePaul Nickerson, Patrick Tighe, Benjamin Shickel, et al.
IEEE Journal of Biomedical and Health Informatics|July 11, 2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) AnalysisBenjamin Shickel, Patrick James Tighe, Azra Bihorac, et al.
Critical Care (London, England)|July 29, 2024
Artificial intelligence in acute medicine: a call to actionMaurizio Cecconi, Massimiliano Greco, Benjamin Shickel, et al.
Frontiers in Digital Health|June 3, 2022
Potentials and Challenges of Pervasive Sensing in the Intensive Care UnitAnis Davoudi, Benjamin Shickel, Patrick James Tighe, et al.
Frontiers in Cardiovascular Medicine|June 4, 2024
An explainable machine learning approach using contemporary UNOS data to identify patients who fail to bridge to heart transplantationMamoun T Mardini, Chen Bai, Maisara Bledsoe, et al.
Clinical Journal of the American Society of Nephrology : CJASN|February 7, 2023
Reinforcement Learning for Clinical ApplicationsKia Khezeli, Scott Siegel, Benjamin Shickel, et al.
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