Latest AI and machine learning research in critical care for healthcare professionals.
Recent advances in Large Language Models (LLMs) present new opportunities for automating critical bo...
Abstract Background: Echocardiography (echo) notes contain valuable prognostic information for patie...
Background: Pleuroparenchymal fibroelastosis (PPFE) is an upper lobe predominant fibrotic lung abnor...
Thyroid ultrasound (US) automation couples two competing requirements: global, geometry-driven reaso...
Objective To develop and evaluate a scalable and reproducible natural language processing (NLP) appr...
Predicting hospital outcomes for patients with severe acute respiratory infections is critical for r...
Accurate and interpretable mortality risk prediction in intensive care units (ICUs) remains a critic...
Background: Large language models (LLMs) are increasingly deployed in medical contexts as patient-fa...
Obstructive sleep apnea (OSA) is a sleep disorder that affects nearly one billion people globally an...
Introduction Clinicians and patients are likely to increasingly use Large Language Models (LLMs) for...
As artificial intelligence systems move toward clinical deployment, ensuring reliable prediction beh...
Background: Sepsis remains a leading cause of preventable hospital mortality in England, with NHS En...
Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals...
Background Clinicians in care management programs are often in low supply relative to patient demand...
Diabetic retinopathy (DR) is one of the leading causes of vision loss worldwide, making early and ac...
Fecal microbiota transplantation (FMT) has emerged as a highly effective treatment for recurrent Clo...
Irregular multivariate time series with missing values present significant challenges for predictive...
Objective: This study investigates whether incorporating physiological coupling concepts into neural...
Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the...
Heart failure with preserved ejection fraction (HFpEF) is an increasingly common cause of morbidity ...
Safe and interpretable sequential decision-making is critical in healthcare, yet reinforcement learn...