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Subcategories: Sepsis

Showing 2563-2583 of 5,099 articles

scMOBA: A conversational single-cell Multi-Omics Brain Agent across species

Single-cell and spatial multi-omics are revolutionizing our understanding of the complexity in the d...

Jan 2025 10.64898/2025.12.01.691565

MOTLAB: A Weighted Multi-Omics Transfer Learning Approach to Mitigate Breast Cancer Racial Disparities

Breast cancer (BC) is a leading cause of cancer death among women in United States. Previous studies...

Jan 2025 10.64898/2025.12.22.696111

Closing the Sim-to-Real Gap: An End-to-End Robotic Ultrasound System Leveraging In Vivo Reinforcement Learning and 3D-Prior Guided Hybrid Control

Abdominal ultrasound is a crucial first-line diagnostic tool, yet its efficacy is inherently constra...

Jan 2025 10.64898/2025.12.17.694846

Protocol for the development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data

Propofol is a widely used sedative-hypnotic agent for critically-ill patients requiring invasive mec...

Jan 2025 10.1101/2024.08.17.24312159

Care Phenotypes In Critical Care

The Social Determinants of Health (SDoH) have long been recognised as significant drivers of health ...

Jan 2025 10.1101/2025.01.24.25320468

Deep Learning–Based Early Detection of Major Adverse Cerebral Injuries in Cardiothoracic and Vascular Surgery

Despite advances in central nervous system (CNS)-protective anesthetic and surgical strategies, peri...

Jan 2025 10.1101/2025.01.10.25320368

ORAKLE: Optimal Risk prediction for mAke30 in patients with acute Kidney injury using deep Learning

Major Adverse Kidney Events within 30 days (MAKE30) is an important patient-centered outcome for ass...

Jan 2025 10.1101/2025.01.18.25320769

Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction

Recent advances in the Large Language Models (LLMs) provide a promising avenue for retrieving releva...

Jan 2025 10.1101/2025.01.19.25320797

A pragmatic randomized controlled trial of artificial intelligence (AI)-based predictive analytics monitoring for early detection of clinical deterioration

This pragmatic randomized controlled trial aimed to assess the effect of a passive display of artifi...

Jan 2025 10.1101/2025.01.20.25320838

ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases

Intracerebral hemorrhage (ICH) is a critical form of stroke resulting from bleeding within the brain...

Jan 2025 10.1101/2025.01.01.25319859

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the brai...

Jan 2025 10.1101/2025.01.01.24319585

A Multi-pathogen Hospitalization Forecasting Model for the United States: An Optimized Geo-Hierarchical Ensemble Framework

Accurate forecasting of infectious diseases is crucial for timely public health response. Ensemble f...

Jan 2025 10.1101/2025.01.08.25320187

Computational Phenomapping of Randomized Clinical Trials to Enable Assessment of their Real-world Representativeness and Personalized Inference

Randomized clinical trials (RCTs) define evidence-based medicine, but quantifying their generalizabi...

Jan 2025 10.1101/2024.05.15.24306285

Multi-resolution vision transformer model for skin cancer subtype classification using histopathology slides

Digital pathology has significantly advanced cancer diagnosis by enabling high-resolution visualisat...

Jan 2025 10.1101/2025.01.28.25321234

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients

Achieving adequate enteral nutrition among mechanically ventilated patients is challenging, yet crit...

Jan 2025 10.1101/2025.01.06.25320067

Browse Categories

scMOBA: A conversational single-cell Multi-Omics Brain Agent across species

MOTLAB: A Weighted Multi-Omics Transfer Learning Approach to Mitigate Breast Cancer Racial Disparities

Closing the Sim-to-Real Gap: An End-to-End Robotic Ultrasound System Leveraging In Vivo Reinforcement Learning and 3D-Prior Guided Hybrid Control

Protocol for the development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data

Care Phenotypes In Critical Care

Deep Learning–Based Early Detection of Major Adverse Cerebral Injuries in Cardiothoracic and Vascular Surgery

ORAKLE: Optimal Risk prediction for mAke30 in patients with acute Kidney injury using deep Learning

Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction

A pragmatic randomized controlled trial of artificial intelligence (AI)-based predictive analytics monitoring for early detection of clinical deterioration

ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

A Multi-pathogen Hospitalization Forecasting Model for the United States: An Optimized Geo-Hierarchical Ensemble Framework

Computational Phenomapping of Randomized Clinical Trials to Enable Assessment of their Real-world Representativeness and Personalized Inference

Multi-resolution vision transformer model for skin cancer subtype classification using histopathology slides

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients

A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records

Development and Validation of Machine Learning Models for Adverse Events after Cardiac Surgery

Generative AI Mitigates Representation Bias and Improves Model Fairness Through Synthetic Health Data

Machine Learning Models for Dynamic Assessment of Extubation Readiness in Pediatric Critical Care

Integrating Nowcasts into an Ensemble of Data-Driven Forecasting Models for SARI Hospitalizations in Germany

Predicting mortality in critically ill patients with hypertension using machine learning and deep learning models

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