Hospital-Based Medicine

A β-TCP/PMMA composite bone cement promotes osteogenic differentiation of osteoporotic rBMSCs via Wnt/β-catenin pathway.

Osteoporosis-induced bone defects represent a severe clinical challenge that requires high-performance bone repair biomaterials. To address the limited osteoinductivity, excessive curing heat, and poor degradability of conventional PMMA bone cement, we developed a 1:1 β-tricalcium phosphate (β-TCP)/polymethyl methacrylate (PMMA) composite and an integrated computation-experimental framework. For t...

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic morbidity and cancer-related mortality, affecting approximately 2-10% of the treated patients. Most recurrences develop within three years of surgery and often arise near the surgical bed, where fibrosis and distorted anatomy can delay detection. Ea...

American College of Surgeons NSQIP Hospital Benchmarking Using Bayesian Variational Inference to Adjust for Many CPT Codes.

BACKGROUND: Current ACS NSQIP benchmarking relies primarily on the principal Current Procedural Terminology (CPT) code for procedure-related risk adju...

Harnessing compound flood risk assessment Utilizing a physics-informed GeoAI surrogate framework considering social vulnerability sources.

Compound flooding (CF), driven by the interaction of extreme storm surge, rainfall, and river discharge, poses escalating risks to society, especially...

Prehospital Injury Severity Estimate (PHISE) matches in-hospital trauma scores when embedded in AI models.

Trauma severity scores such as the Injury Severity Score (ISS) and New Injury Severity Score (NISS) are widely used for trauma benchmarking, risk stra...

Two-Stage Extraction of Clinical Course Information From Psychiatric Discharge Summaries Using Fine-Tuned Large Language Models: Cross-Validation Study.

BACKGROUND: Clinical course information, including disease onset, episode recurrence, and hospitalization history, is essential for psychiatric care a...

A team science blueprint for nurse-led artificial intelligence research: Lessons from building AI tools to detect stigmatizing language in obstetric records.

BACKGROUND: Nurse scientists are increasingly expected to lead research applying artificial intelligence (AI) to advance health equity. However, there...

Predicting Readmissions or Post-Discharge Mortality After Cardiac Surgery with Machine Learning Using an Australian Database.

AIM: This study aimed to create machine learning algorithms using the Australian & New Zealand Society of Cardiac & Thoracic Surgeons (ANZSCTS) Databa...

Admission photoplethysmography-based mortality prediction in hospitalized Ugandan children with suspected or confirmed infection: A feasibility study.

Sepsis remains a major cause of preventable pediatric hospital deaths in developing countries, with progress hindered by the lack of effective risk id...

Association between AI-driven conversational agents and physician-patient interaction quality during outpatient consultations: A propensity score matching study in China.

OBJECTIVES: This study aimed to use a propensity score matching (PSM) design to examine the association between artificial intelligence (AI)-driven co...

An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus.

Infection is a leading cause of mortality in patients with systemic lupus erythematosus (SLE), yet effective tools for early identification of high-ri...

[Web-based translation software in clinical practice : A survey in a German university hospital including a data protection and liability perspective].

BACKGROUND: Language barriers are an obstacle in everyday clinical practice. Webbased translation software can offer a low-barrier solution. This stud...

Implementation and Evaluation of an AI-Assisted Telerehabilitation System for Postdischarge Continuation of Rehabilitative Care: Protocol for a Randomized Controlled Trial.

BACKGROUND: The World Health Organization (WHO) launched a Rehabilitation 2030 initiative to call for global action to scale up rehabilitation efforts...

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 mild ischemic stroke, and to construct and valida...

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 mortality rate, necessitating timely and accurate IC...

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 such as emergency department boarding, overcrowdi...

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 in optimizing treatment. The objective was to deve...

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial.

BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...

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 other causes of drug-induced liver injury (DILI) rem...

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