Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Showing 2542-2562 of 8,393 articles
Development and validation of electronic health record-based ascertainment of obsessive-compulsive disorder cases and controls

Obsessive-compulsive disorder (OCD) is a common psychiatric disorder, with two-thirds of affected in...

Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes

Artificial intelligence (AI) and statistical models designed to predict same-admission outcomes for ...

Assessment of Medication Adherence in Patients: Development and Validation of a Machine Learning Model

This study addresses limitations of traditional medication adherence assessment tools by developing ...

Predicting Intentional Self-Harm Following Psychiatric Discharge in Catalonia, Spain: Machine Learning Models from Linked Registry Data

Patients recently discharged from psychiatric hospitalization are at increased risk of intentional s...

AI-based synthetic simulation CT generation from diagnostic CT for simulation-free workflow of spinal palliative radiotherapy

Current radiotherapy (RT) planning workflows rely on pre-treatment simulation CT (sCT), which can si...

Predicting Hospital Admissions Using Pretrained EHR Embeddings: External Evaluation and Insights on Local Vocabulary Adaptation

Unplanned hospital admissions impose substantial strain on healthcare systems, yet predictive models...

Harnessing Machine Learning for Antimicrobial Resistance Surveillance in Zimbabwe

Antimicrobial resistance (AMR) poses a significant public health challenge, particularly in resource...

Correcting Algorithmic Bias in Machine Learning Prediction of Healthcare utilization in India

This study investigates how historical disparities in healthcare access influence machine learning (...

Machine learning models for early prognosis prediction in cardiogenic shock

Cardiogenic shock (CS) is a severe and frequent complication of acute myocardial infarction (AMI), n...

Improving the Prediction of Unplanned 30-day Cancer Readmissions Using Social Determinants of Health: A Geocoding-based Approach

Unplanned cancer readmissions present a significant burden on patients and hospitals. Current predic...

A Multi-Task Deep Learning Model for Pediatric Echocardiography Analysis

Congenital heart defects afflict nearly 1% of all births worldwide. While deep learning algorithms h...

Protocol for Radiographer x AI led discharge

Emergency Department (ED) overcrowding, often exacerbated by prolonged patient length of stay (LOS),...

Machine Learning-Driven Decision-Support System for Nursing Risk Assessment in Post-Discharge Care: A Design Science Approach

Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...

Automated Seizure Classification Using Multimodal Large Language Models

Accurately distinguishing between epileptic seizures (ES) and nonepileptic seizures (NES) is a signi...

Mining medical narratives on geriatric falls to predict post-fall hospitalization via survival models and large language models

Timely admission to the emergency department is a crucial determinant of patient outcomes. Conversel...

Artificial Intelligence-assisted reader evaluation in acute CT head interpretation (AI-REACT): a multireader multicase study

Non-contrast CT head scans (NCCTH) are the most frequently requested cross-sectional imaging in the ...

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