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Search results (282)

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Platelet transfusion thresholds for vascular access

Shah A. et al, (2026), Anaesthesia, 81, 754 - 755

Understanding how post-intensive care follow-up is delivered within the role of critical care outreach teams: a qualitative study protocol

Bonner A. et al, (2026), BMJ Open, 16, e117840 - e117840

You Can't Be With Your Patients All the Time—Patient and Staff Views of a Wearable Vital Signs Monitoring System

Edwards C. et al, (2026), Journal of Advanced Nursing

Opportunities to Improve Nutrition for Patients in Hospital After Discharge From an Intensive Care Unit: A Human Factors Analysis

Vollam S. et al, (2026), Nursing in Critical Care, 31

RETRACTED ARTICLE: DynaGraph: interpretable dynamic graph learning for temporal electronic health records.

Mesinovic M. et al, (2026), NPJ Digit Med, 9

DySurv: dynamic deep learning model for survival analysis with conditional variational inference

Mesinovic M. et al, (2026), Journal of the American Medical Informatics Association, 33, 112 - 122

Screening for hypertension in the inpatient environment (SHINE): a prospective diagnostic accuracy study among adult hospital patients

Armitage LC. et al, (2026), BMJ Open, 16, e107038 - e107038

Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal

Fields KG. et al, (2025), Anesthesiology, 143, 1643 - 1655

Non-pharmacological post-intensive care interventions to improve patient outcome following critical illness: a scoping review

Gustafson O. et al, (2025), Critical Care, 30

A retrospective records review comparing the care of patients who either avoided or were admitted to an ICU following a ward-based deterioration event

Ede J. et al, (2025), Intensive and Critical Care Nursing, 90, 104064 - 104064

Oxygen therapy in early warning scores: a systematic review and meta-analysis

Harrison CH. et al, (2025), Thorax, 80, 693 - 701

Development and external validation of a clinical prediction model for new-onset atrial fibrillation in intensive care: a multicentre, retrospective cohort study

Bedford JP. et al, (2025), The Lancet Digital Health, 7, 100896 - 100896

Maternal early warning scores shown to be methodologically weak and at high risk of bias

Chester-Jones M. et al, (2025), Journal of Clinical Epidemiology, 184, 111833 - 111833

Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data

Mesinovic M. et al, (2025), Scientific Reports, 15

Explainability in the age of large language models for healthcare

Mesinovic M. et al, (2025), Communications Engineering, 4

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