Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research

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Random survival forests

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Semi-Supervised and Unsupervised Extreme Learning Machines

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A Comprehensive Survey of Loss Functions in Machine Learning

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Linear Inversion of Band-Limited Reflection Seismograms

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What do we need to build explainable AI systems for the medical domain?

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Interpretable Machine Learning in Healthcare

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Early prediction of circulatory failure in the intensive care unit using machine learning

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Computational flow cytometry: helping to make sense of high-dimensional immunology data

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Prediction of the development of acute kidney injury following cardiac surgery by machine learning

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Machine Learning and Decision Support in Critical Care

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Bayesian data analysis for newcomers

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Continuous versus intermittent renal replacement therapy for critically ill patients with acute kidney injury: A meta-analysis*

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Information gain and divergence-based feature selection for machine learning-based text categorization

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Big Data and Data Science in Critical Care

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Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals

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Patient safety in intensive care: results from the multinational Sentinel Events Evaluation (SEE) study

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Use of machine learning to analyse routinely collected intensive care unit data: a systematic review

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Abnormal Heart Rate Characteristics Preceding Neonatal Sepsis and Sepsis-Like Illness

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Reinforcement learning for clinical decision support in critical care: comprehensive review

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Applications of Artificial Neural Networks in Medical Science

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Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis TestsPreprint

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Artificial Intelligence in the Intensive Care Unit

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Heart Rate Characteristics: Novel Physiomarkers to Predict Neonatal Infection and Death

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Artificial Intelligence in Critical Care Medicine

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Clustering identifies endotypes of traumatic brain injury in an intensive care cohort: a CENTER-TBI study

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Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital

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Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions

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Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction

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The use of machine learning and artificial intelligence within pediatric critical care

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The use of clustering algorithms in critical care research to unravel patient heterogeneity

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Bias and ethical considerations in machine learning and the automation of perioperative risk assessment

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An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.

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A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset

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Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials

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Introducing Digital Skills Gap Fillers: A Concept for Conscious Ai Adoption and the Effective Use of Emerging Technologies in BusinessPreprint

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Introduction to AI in Psychotherapy

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LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-Then-Optimize Approach

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Machine Learning in Autism Assessments

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Review on the advancement of artificial intelligence architecture for offshore structural health monitoring

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Neural Networks Applied in Disease Prediction: A Systematic Review

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A mechanism scheme for improving extremist content detection & moderation algorithms

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Generating Meaning In Artificial Intelligence-Based Deepfake Videos: A Semıotically Reading Experiment

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Artificial Intelligence-enabled Electrocardiography for Early Detection of Silent Atrial Fibrillation: Advances, Challenges, and Future Perspectives

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Machine learning-based clinical models for prediction of urinary incontinence after robot-assisted laparoscopic radical prostatectomy

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Artificial Intelligence in Critical Care

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Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients

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Artificial Intelligence and Machine Learning in Critical Care

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