Hospital-Based Medicine

Machine learning-based prediction of unplanned readmission and construction of an online calculator for elderly patients with mild ischemic stroke.

OBJECTIVE: To screen for independent risk factors for unplanned readmission in elderly patients with...

Large language model treatment-pathway outputs based on structured clinical text in mid- and low rectal cancer: Concordance with multidisciplinary team decisions and features associated with discordance.

INTRODUCTION: This study evaluated concordance between treatment-pathway outputs generated from stru...

Explainable artificial intelligence in ICU admission prediction for methanol poisoning patients: a comparative study of deep and machine learning models.

BACKGROUND: Methanol poisoning poses significant challenges due to its rapid progression and high mo...

Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.

BACKGROUND: The current landscape of emergency care (EC) is marked by high demand, leading to issues...

Development and external validation of a multimodal artificial intelligence mortality prediction model of critically ill patients using multicenter data.

BACKGROUND: Early prediction of in-hospital mortality in critically ill patients can aid clinicians ...

Serum Receptor-Interacting Protein Kinase 3 (RIPK3) Is Associated with Transplant-Free Survival in Acute Liver Failure.

BACKGROUND AND AIMS: Prognostication in acute liver failure (ALF) due to acetaminophen (APAP) and ot...

Correction: Introducing artificial intelligence in acute psychiatric inpatient care: qualitative study of its use to conduct nursing observations.

Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry-Based Cohort Study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health burden, disproportionately af...

Risk of Progression and Costs of Care for Patients With Chronic Kidney Disease.

RATIONALE & OBJECTIVE: Chronic kidney disease (CKD) is associated with substantial economic burden. ...

Global, multilingual, physician-invited, patient-completed digital registry enabling pre-consultation engagement and supporting more efficient care pathways in venous disease.

Lower limb venous diseases are prevalent chronic conditions that require standardized, efficient, an...

The Influence of Patient Persona and Affective Framing on Management Recommendations of ChatGPT, Gemini and Claude for Unruptured Intracranial Aneurysms: A Comparative Benchmarking Study.

Patients increasingly consult large language models (LLMs) before specialist review and may do so in...

Optimizing Cancer Drug Treatments Using Big Data Integration of Genomic and Clinical Data for Personalized Medicine.

Personalized cancer care depends on the seamless integration of genetic profiles, medical histories,...

Deep learning electrocardiogram analysis for rapid rule-out of acute coronary syndrome in the emergency department: a multicenter diagnostic accuracy study.

BACKGROUND: Rapid and accurate exclusion of acute coronary syndrome (ACS) in patients presenting wit...

Delay and Attrition in Severe Aortic Stenosis: A Four-Checkpoint Systematic Review of Pathway Bottlenecks and Interventions.

The care pathway for severe aortic stenosis (AS) remains vulnerable to diagnostic delay, referral in...

Prediction of coronary atherosclerosis progression in type 2 diabetes mellitus based on AI-derived CCTA parameters and clinical factors: a follow-up study.

OBJECTIVE: To develop a predictive model for coronary atherosclerosis progression in patients with t...

Development and Validation of an XGBoost-SHAP Model for Predicting Adverse Outcomes in Elderly Cardiovascular Patients With Polypharmacy: A Retrospective Cohort Study.

This study aims to develop and validate an interpretable machine learning model using Extreme Gradie...

Predicting Next-Day Passive Suicidal Ideation in At-Risk Youth.

INTRODUCTION: Passive suicidal ideation (SI) is a well-established risk factor for suicidal behavior...

A Data-Driven Medication Regimen Complexity Score for Critically Ill Patients: MRC-ICU 2.0.

BACKGROUND: The 2019 medication regimen complexity-intensive care unit (MRC-ICU) score is associated...

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance Analysis.

OBJECTIVE: Evaluate the importance of specific variables contributing to a recently reported Artific...

Development and Validation of an Interpretable Machine Learning-Based Clinical Prediction Model for Short-Term Mortality in Intracerebral Hemorrhage With Thrombocytopenia: A Multicenter Study.

BACKGROUND: Intracerebral hemorrhage (ICH) with thrombocytopenia is associated with poor outcomes, b...

Predicting premature treatment termination in inpatient psychotherapy: A machine learning approach.

OBJECTIVE: The study aimed to quantify types of premature treatment termination in a psychosomatic h...