Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Cureus|October 4, 2021
Augmenting Traditional Cardiac and Medical Care in Africa via Telemedicine: A Pilot StudyOkechukwu N Mgbemena, Isaac Sears, Barry Levine
Antimicrobial Stewardship & Healthcare Epidemiology : ASHE|April 28, 2025
Antidepressants and antibiotic resistance in urine cultures: a cohort studyIsaac Sears, Michel Davis, Kevin Gibas, et al.
Surgical Infections|March 19, 2025
Choice of Machine Learning Models Is Important to Predict Post-Operative Infections in Surgical PatientsAddison Heffernan, Reetam Ganguli, Isaac Sears, et al.
Artificial Intelligence in Medicine|March 26, 2026
Identifying and timing patient outcomes in clinician notes using large language modelsTassallah Abdullahi, Ali Hamzeh, Isaac Sears, et al.
Computing in Cardiology|November 11, 2024
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac ArrestIsaac Sears, Augusto Garcia-Agundez, George Zerveas, et al.
JTCVS Open|November 13, 2024
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysisAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Research Square|January 10, 2024
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry AnalysisAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Research Square|January 23, 2024
Predicting Acute Brain Injury in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: Analysis of the Extracorporeal Life Support Organization RegistryAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
JTCVS Open|September 19, 2024
Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysisAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Pageof 1