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Molly J Douglas

Showing results (1-10 of 8) with videos related to

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The American Surgeon|August 21, 2017
Variability in Perioperative Fasting Practices Negatively Impacts Nutritional Support of Critically Ill Intubated PatientsMolly J Douglas, David Ciraulo
The Surgical Clinics of North America|March 22, 2023
Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in SurgeryMolly J Douglas, Rachel Callcut, Leo Anthony Celi, et al.
Trauma Surgery & Acute Care Open|September 16, 2022
Early COVID-19 respiratory risk stratification using machine learningMolly J Douglas, Brian W Bell, Adrienne Kinney, et al.
Journal of Critical Care|September 23, 2020
Ethical, legal, and communication challenges in managing goals-of-care discussions in chronically critically ill patientsShahla Siddiqui, Wei Wei Zhang, Katharina Platzbecker, et al.
PLOS Digital Health|March 23, 2026
A problem of Epic proportionRawan Abulibdeh, Matthew G Crowson, Molly J Douglas, et al.
NPJ Digital Medicine|December 10, 2019
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patientsAntonin Dauvin, Carolina Donado, Patrik Bachtiger, et al.
Neurocritical Care|June 6, 2024
Social Determinants of Health and Limitation of Life-Sustaining Therapy in Neurocritical Care: A CHoRUS Pilot ProjectGloria Hyunjung Kwak, Hera A Kamdar, Molly J Douglas, et al.
PLOS Digital Health|August 28, 2024
A health equity monitoring framework based on process miningJan Niklas Adams, Jennifer Ziegler, Matthew McDermott, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
The American Surgeon|August 21, 2017
Variability in Perioperative Fasting Practices Negatively Impacts Nutritional Support of Critically Ill Intubated PatientsMolly J Douglas, David Ciraulo
The Surgical Clinics of North America|March 22, 2023
Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in SurgeryMolly J Douglas, Rachel Callcut, Leo Anthony Celi, et al.
Trauma Surgery & Acute Care Open|September 16, 2022
Early COVID-19 respiratory risk stratification using machine learningMolly J Douglas, Brian W Bell, Adrienne Kinney, et al.
Journal of Critical Care|September 23, 2020
Ethical, legal, and communication challenges in managing goals-of-care discussions in chronically critically ill patientsShahla Siddiqui, Wei Wei Zhang, Katharina Platzbecker, et al.
PLOS Digital Health|March 23, 2026
A problem of Epic proportionRawan Abulibdeh, Matthew G Crowson, Molly J Douglas, et al.
NPJ Digital Medicine|December 10, 2019
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patientsAntonin Dauvin, Carolina Donado, Patrik Bachtiger, et al.
Neurocritical Care|June 6, 2024
Social Determinants of Health and Limitation of Life-Sustaining Therapy in Neurocritical Care: A CHoRUS Pilot ProjectGloria Hyunjung Kwak, Hera A Kamdar, Molly J Douglas, et al.
PLOS Digital Health|August 28, 2024
A health equity monitoring framework based on process miningJan Niklas Adams, Jennifer Ziegler, Matthew McDermott, et al.
Pageof 1