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Nathan C Hurley

Showing results (1-10 of 18) with videos related to

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Regional Anesthesia and Pain Medicine|January 22, 2024
Can artificial intelligence make clinical decisions in regional anesthesia? An infographicNathan C Hurley, Eric S Schwenk
Transfusion|August 30, 2023
Would doctors dream of electric blood bankers? Large language model-based artificial intelligence performs well in many aspects of transfusion medicineNathan C Hurley, Kristopher M Schroeder, Aaron S Hess
Regional Anesthesia and Pain Medicine|January 22, 2024
Danger, Danger, Gaston Labat! Does zero-shot artificial intelligence correlate with anticoagulation guidelines recommendations for neuraxial anesthesia?Nathan C Hurley, Rajnish K Gupta, Kristopher M Schroeder, et al.
Regional Anesthesia and Pain Medicine|March 14, 2024
Reply: 'Danger, Danger, Gaston Labat! Does zero-shot artificial intelligence correlate with anticoagulation guideline recommendations for neuraxial anesthesia?'Nathan C Hurley, Rajnish K Gupta, Kristopher M Schroeder, et al.
ACM Transactions on Computing for Healthcare|August 2, 2021
A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular DisordersNathan C Hurley, Erica S Spatz, Harlan M Krumholz, et al.
Anesthesia and Analgesia|October 24, 2025
Can Current Artificial Intelligence and Large Language Models Aid in Difficult Airway Management?Scott J Price, Nathan C Hurley, Kristopher M Schroeder, et al.
Anesthesia and Analgesia|March 5, 2026
Benchmarking Large Language Model Performance in Perioperative Crisis ResponsesNathan C Hurley, Rachel Corbitt, Sam Fallahian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Sparse Embedding for Interpretable Hospital Admission PredictionZepeng Huo, Harinath Sundararajhan, Nathan C Hurley, et al.
Proceedings of Machine Learning Research|March 2, 2021
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural NetworksLida Zhang, Nathan C Hurley, Bassem Ibrahim, et al.
ACM Transactions on Computing for Healthcare|November 1, 2023
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk EstimationNathan C Hurley, Sanket S Dhruva, Nihar R Desai, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Regional Anesthesia and Pain Medicine|January 22, 2024
Can artificial intelligence make clinical decisions in regional anesthesia? An infographicNathan C Hurley, Eric S Schwenk
Transfusion|August 30, 2023
Would doctors dream of electric blood bankers? Large language model-based artificial intelligence performs well in many aspects of transfusion medicineNathan C Hurley, Kristopher M Schroeder, Aaron S Hess
Regional Anesthesia and Pain Medicine|January 22, 2024
Danger, Danger, Gaston Labat! Does zero-shot artificial intelligence correlate with anticoagulation guidelines recommendations for neuraxial anesthesia?Nathan C Hurley, Rajnish K Gupta, Kristopher M Schroeder, et al.
Regional Anesthesia and Pain Medicine|March 14, 2024
Reply: 'Danger, Danger, Gaston Labat! Does zero-shot artificial intelligence correlate with anticoagulation guideline recommendations for neuraxial anesthesia?'Nathan C Hurley, Rajnish K Gupta, Kristopher M Schroeder, et al.
ACM Transactions on Computing for Healthcare|August 2, 2021
A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular DisordersNathan C Hurley, Erica S Spatz, Harlan M Krumholz, et al.
Anesthesia and Analgesia|October 24, 2025
Can Current Artificial Intelligence and Large Language Models Aid in Difficult Airway Management?Scott J Price, Nathan C Hurley, Kristopher M Schroeder, et al.
Anesthesia and Analgesia|March 5, 2026
Benchmarking Large Language Model Performance in Perioperative Crisis ResponsesNathan C Hurley, Rachel Corbitt, Sam Fallahian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Sparse Embedding for Interpretable Hospital Admission PredictionZepeng Huo, Harinath Sundararajhan, Nathan C Hurley, et al.
Proceedings of Machine Learning Research|March 2, 2021
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural NetworksLida Zhang, Nathan C Hurley, Bassem Ibrahim, et al.
ACM Transactions on Computing for Healthcare|November 1, 2023
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk EstimationNathan C Hurley, Sanket S Dhruva, Nihar R Desai, et al.
Pageof 2