Showing results (131-140 of 311) with videos related to
Sort By:
Pageof 32
Internal Medicine Journal|November 11, 2024
Rule-based clinician-developed programmes can facilitate haemodialysis clinical workflowsShrirajh Satheakeerthy, Andrew Ec Booth, Weng O Chan, et al.Internal Medicine Journal|September 27, 2025
Midodrine in the management of heart failure with reduced ejection fraction: a systematic reviewNicholas Pavic, Shane Zhang, Emilie Zhou, et al.Blood Coagulation & Fibrinolysis : an International Journal in Haemostasis and Thrombosis|September 27, 2023
Quantifying time from last dose: do direct oral anticoagulant assays correlate with patient's reported last doseBrandon Stretton, Joshua Kovoor, Stephen Bacchi, et al.JAMA Network Open|August 25, 2022
Small Study Effects in Diagnostic Imaging Accuracy: A Meta-AnalysisLucy Lu, Qi Sheng Phua, Stephen Bacchi, et al.Internal Medicine Journal|November 24, 2023
Artificial intelligence-enabled penicillin allergy delabelling: an implementation studyBrandon Stretton, Melinda Jiang, Joshua Kovoor, et al.Internal and Emergency Medicine|January 4, 2020
Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot studyStephen Bacchi, Samuel Gluck, Yiran Tan, et al.Seminars in Ophthalmology|January 23, 2023
Immune Checkpoint Inhibitors and Optic Neuropathy: A Systematic ReviewJames Pietris, Sanjana Santhosh, Gianni Ferdinando Cirocco, et al.Hospital Practice (1995)|November 28, 2024
Direct oral anticoagulant assay utilization and associated bleeding events: a multi-center cohort studyBrandon Stretton, Joshua Kovoor, Stephen Bacchi, et al.Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|July 16, 2023
Delays in the diagnosis of ischaemic stroke presenting with persistent reduced level of consciousness: A systematic reviewSheryn Tan, Charis Tang, Jeng Swen Ng, et al.Internal Medicine Journal|March 24, 2025
Large language model-supported interactive case-based learning: a pilot studyHaelynn Gim, Benjamin Cook, Jasmin Le, et al.Pageof 32