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Parisa Rashidi

Showing results (51-60 of 130) with videos related to

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Critical Care Explorations|July 23, 2020
Improving the Intensive Care Patient Experience With Virtual Reality-A Feasibility StudyTriton L Ong, Matthew M Ruppert, Maisha Akbar, et al.
Journal of Clinical and Translational Science|December 15, 2025
Building AI competence in the healthcare workforce with the AI for clinical care workshop: A Bridge2AI for clinical CHoRUS projectAndrea E Davidson, Aiden Jose, Benjamin Shickel, et al.
American Journal of Surgery|March 5, 2020
Opportunities for machine learning to improve surgical ward safetyTyler J Loftus, Patrick J Tighe, Amanda C Filiberto, et al.
Scientific Reports|July 29, 2024
Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial biasJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Surgery|January 13, 2021
Reinforcement learning in surgeryShounak Datta, Yanjun Li, Matthew M Ruppert, et al.
Journal of Nephrology|March 21, 2025
Epidemiology, trajectories and outcomes of acute kidney injury among hospitalized patients: a large retrospective multicenter cohort studyEsra Adiyeke, Yuanfang Ren, Shmuel Fogel, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|November 10, 2018
Activity and Circadian Rhythm of Sepsis Patients in the Intensive Care UnitAnis Davoudi, Duane B Corbett, Tezcan Ozrazgat-Baslanti, et al.
Research Square|October 27, 2023
FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groupsJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Research Square|December 3, 2025
Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital OutcomesSabyasachi Bandyopadhyay, Jiaqing Zhang, Ronald L Ison, et al.
Restorative Neurology and Neuroscience|June 23, 2026
Backward Incline Walking in Stroke Rehabilitation: A Pilot Feasibility StudySharareh Sharififar, Chris Lamprecht, Anna Yozefovich Khanna, et al.
Pageof 13

Showing results (51-60 of 130) with videos related to

Sort By:
Pageof 13
Critical Care Explorations|July 23, 2020
Improving the Intensive Care Patient Experience With Virtual Reality-A Feasibility StudyTriton L Ong, Matthew M Ruppert, Maisha Akbar, et al.
Journal of Clinical and Translational Science|December 15, 2025
Building AI competence in the healthcare workforce with the AI for clinical care workshop: A Bridge2AI for clinical CHoRUS projectAndrea E Davidson, Aiden Jose, Benjamin Shickel, et al.
American Journal of Surgery|March 5, 2020
Opportunities for machine learning to improve surgical ward safetyTyler J Loftus, Patrick J Tighe, Amanda C Filiberto, et al.
Scientific Reports|July 29, 2024
Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial biasJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Surgery|January 13, 2021
Reinforcement learning in surgeryShounak Datta, Yanjun Li, Matthew M Ruppert, et al.
Journal of Nephrology|March 21, 2025
Epidemiology, trajectories and outcomes of acute kidney injury among hospitalized patients: a large retrospective multicenter cohort studyEsra Adiyeke, Yuanfang Ren, Shmuel Fogel, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|November 10, 2018
Activity and Circadian Rhythm of Sepsis Patients in the Intensive Care UnitAnis Davoudi, Duane B Corbett, Tezcan Ozrazgat-Baslanti, et al.
Research Square|October 27, 2023
FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groupsJiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, et al.
Research Square|December 3, 2025
Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital OutcomesSabyasachi Bandyopadhyay, Jiaqing Zhang, Ronald L Ison, et al.
Restorative Neurology and Neuroscience|June 23, 2026
Backward Incline Walking in Stroke Rehabilitation: A Pilot Feasibility StudySharareh Sharififar, Chris Lamprecht, Anna Yozefovich Khanna, et al.
Pageof 13