Hospital-Based Medicine

Overview of a User-Centered, Mixed-Methods Process for Designing Interconnected and Focused Mobile Applications on Patient Care Environment (InterFACE): Augmented-Reality Decision Support System for Pediatric Resuscitation.

BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical proc...

Development and explanation of electrocardiogram-based deep learning for predicting short-term mortality in heart failure patients.

BACKGROUND: Heart failure mortality has risen sharply after years of decline, highlighting the limit...

Predicting the need for electroconvulsive therapy via machine learning trained on electronic health record data.

OBJECTIVES: Electroconvulsive therapy (ECT) is an effective treatment of severe manifestations of me...

How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study.

OBJECTIVES: To describe the structured process of threshold optimisation for a commercially availabl...

Predicting Persistent Renal Failure Necessitating Dialysis in Patients Undergoing Elective, Open Thoracoabdominal Aortic Aneurysm Repair.

BACKGROUND: Acute renal failure remains a significant complication after open thoracoabdominal aorti...

Architecting Synergy: Knowledge Graphs for Representing Complex, Multi-Domain Patient Information.

Healthcare systems exchange more data than ever, yet gaps in care persist: missed referrals, unsafe ...

Development and validation of a machine learning model for prediction of 1-year mortality following ST-elevation myocardial infarction: a retrospective cohort study.

OBJECTIVES: To develop a machine learning (ML)-based risk prediction model for 1-year mortality in S...

Machine Learning Tools for Predicting Pediatric Urinary Tract Infections Caused by ESBL-producing Bacteria.

BACKGROUND: The prevalence of pediatric urinary tract infections (UTIs) caused by extended-spectrum ...

Simplifying radiology reports with large language models: privacy-compliant open- versus closed-weight models.

OBJECTIVES: Large language models (LLMs) like generative pre-trained transformer (GPT) can simplify ...

Translating human capital amid varying intentions to stay: An integrative conceptual review of the immigrant employment attainment process.

Immigrants face a unique challenge in translating their home country human capital to secure employm...

[Application of a novel robot-assisted navigation system in CT-guided percutaneous lung biopsy].

Objective: To compare the clinical efficacy and safety of robot-assisted navigation systems with tho...

Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study.

This study aimed to develop and validate a machine learning-based model for predicting 24-hour morta...

Enhancing Inpatient Mortality Prognostication in Cirrhosis Patients Through Machine Learning Techniques.

Temporally consistent survival prediction for non-uniform longitudinal data.

OBJECTIVE: Traditional survival prediction models use a patient's covariates at a single time point ...

Expert Consensus on Ethical Governance for Clinical Applications of Generative Medical Artificial Intelligence(2025 Edition).

The research and innovative applications of generative medical artificial intelligence(GMAI)are rapi...

Comparison and validation of multiple machine learning algorithms for predicting MDRO infection in catheter-related bloodstream patients: a multicenter cohort study.

UNLABELLED: Early identification of patients at high risk for multidrug-resistant organism (MDRO) in...

A Large Language Model Approach to Functional Status Scale Assessment.

OBJECTIVES: To develop a fine-tuned version of the generative pretrained transformer (GPT)-4o artifi...

Early Prediction of Delirium in Postcardiac Surgery Patients: Machine Learning Model Development and External Validation.

BACKGROUND: Delirium is a frequent postoperative complication among patients who have undergone card...

Clinical evaluation of MiADE: a natural language processing system for assisting structured diagnosis recording at the point of care.

OBJECTIVES: To evaluate the usability, usefulness and impact of a novel point of care natural langua...

Acute biological age as a determinant of adverse outcomes requiring hospitalization in Danish emergency department patients.

BACKGROUND: Accurate health assessments in the Emergency Department are critical for guiding treatme...

[Pay attention to blepharospasm and dry eye].

Blepharospasm-related dry eye is a complex multifactorial comorbidity involving neural, ocular surfa...