Hospital-Based Medicine

AI-Driven Prediction of Multiple Outcomes in Older Adults with Coronary Heart Disease.

BACKGROUND AND OBJECTIVES: Frail older adults with coronary heart disease (CHD) face significantly e...

Predictive accuracy of Early Warning Score Systems for Detecting Critically Ill Patients in an Outpatient Setting.

Background No systematic methods exist for triaging outpatients with severe conditions. Our previous...

Patterns of AI Use in Clinical Work by Hospitalists: Survey Study.

BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Und...

In-Hospital Mortality Prediction of Patients Requiring Extracorporeal Membrane Oxygenation Using Composite Lactate Metrics and Weight of Evidence Modeling.

BACKGROUND: Mortality prognostication in adult patients requiring extracorporeal membrane oxygenatio...

Fundamental understanding of electrochemical energy storage devices via in situ or operando characterization.

The importance of mechanistic studies in the field of energy storage cannot be understated. Electroc...

Using Machine Learning to Predict Features Within Substance Use Disorder Treatment Service Settings That Increase the Likelihood of Positive Treatment Outcomes.

Given the conceptual issues involved in defining and measuring recovery and accordingly substance us...

Collaborative Coarse-to-Fine Disease Learning With Discharge Summary Awareness for EHR Event Prediction.

Deep learning-based models have been widely used to predict electronic health record (EHR) events by...

Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity: Protocol for a Retrospective and Prospective Multicenter Cohort Study.

BACKGROUND: Cardiorespiratory fitness (CRF) is a key predictor of cardiovascular and other health-re...

Fairness analysis of machine learning predictions of aggression in acute psychiatric care.

Machine learning (ML) is increasingly being developed to support individualized risk assessment and ...

Artificial Intelligence Length-of-Stay Forecasting and Pediatric Surgical Capacity.

IMPORTANCE: Hospitals are increasingly experiencing challenges with variable and unpredictable inpat...

Quantitative Chest Computed Tomography and Machine Learning for Subphenotyping Small Airways Disease in Long COVID.

PURPOSE: To investigate imaging phenotypes in posthospitalized COVID-19 patients by integrating quan...

Updates in Central Retinal Artery Occlusion.

BACKGROUND: Central retinal artery occlusion (CRAO) is a vision-threatening neuro-ophthalmic emergen...

[Artificial intelligence in cardiology: the new HAL 9000?].

Artificial intelligence (AI) is rapidly transforming the world, and medicine is at the forefront of ...

Simulation-free spine palliative radiotherapy enabled by AI-adapted diagnostic CT.

BACKGROUND: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can ...

Tailored AI ethics: Enacting geriatric care with AI-based patient monitoring.

Artificial intelligence (AI) systems are increasingly integrated into clinical practice, where they ...

A fine-grained transformer combined with multimodal data for predicting hospital length of stay in acute coronary syndrome.

The prediction of hospital length of stay (LOS) is of great significance for hospitals to rationally...

Risk stratification for long-term inpatient costs in mental disorders: a dual-track machine learning approach using baseline EHRs and hospitalization trajectories.

Exploring the optimal age for total knee arthroplasty to minimize risk of adverse outcomes: machine learning analysis of a statewide cohort.

BACKGROUND: Rates of total knee arthroplasty (TKA) in the United States have risen in patients of a ...

Evaluating Guideline-Adherent Antibiotic Use for Skin Infections Using Natural Language Processing: A Pilot Study.

OBJECTIVE: To develop and evaluate an internally validated natural language processing (NLP) model t...

SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions.

PURPOSE OF REVIEW: Machine learning predictive modeling can support scalable prevention of suicide-r...

Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants.

BACKGROUND: Continuous kidney replacement therapy (CKRT) has emerged as a valuable treatment option ...