Hospital-Based Medicine

Implementation of Artificial Intelligence-Powered Patient Simulation for Communication Training in a Telehealth Transitional Care Program.

INTRODUCTION: Effective communication during care transitions is essential for patient safety and qu...

Optimizing Large Language Models for Hospital Discharge Prediction.

OBJECTIVE: To evaluate baseline LLM performance for hospital discharge prediction, characterize LLM ...

Readability and Clinical Accuracy of AI-Generated Hospital Discharge Instructions: An Audit of Three Large Language Models.

Decision-centered artificial intelligence for perioperative care outside the operating room: a practical review for surgeons.

Artificial intelligence (AI) is increasingly being applied across the spectrum of surgical care; how...

Prediction Model for Intensive Care Unit Mortality in Patients with Spine Fracture: Can Machine Learning be Used to Improve Current Standards?

BACKGROUND: The APACHE-IV is the gold standard for ICU mortality prediction across a multitude of pa...

Machine Learning Prediction of One-Year Rehospitalization in Dementia: A Retrospective Cohort Study.

BACKGROUND AND AIMS: Patients with dementia have high rehospitalization rates, creating substantial ...

Locally Deployed Large Language Models for AI-Assisted Outpatient Prescription Review: Crossover Study.

BACKGROUND: Pharmacists' prescription review is key to medication safety, but rising numbers of outp...

Admission Red Cell Distribution Width-Albumin Ratio and 1-Year Mortality in Chronic-Wound Inpatients: Prediction-Model Development, Internal Validation, and Exploratory Temporal Evaluation.

OBJECTIVE: To identify admission-day factors associated with 1-year mortality in adults hospitalized...

Natural Language Processing to Improve Vertebral Fracture Identification in Older Adults Receiving Osteoporosis Therapy.

INTRODUCTION: Vertebral fracture identification using administrative codes is challenging because di...

Hospital Artificial Intelligence Tools and Inpatient Utilization and Costs in Older Adults with Alzheimer's Disease and Related Dementias.

BACKGROUND: Hospitals are increasingly adopting artificial intelligence and machine learning (AI/ML)...

Predicting early psychiatric readmission among people with major depressive disorder: A machine learning analysis from the prospective multicentre DEEP READ study.

BACKGROUND: Major depressive disorder (MDD) is associated with high relapse rates, with around 20% o...

Deep learning-based automated cervical length measurement improves spontaneous preterm birth risk stratification in women with a borderline short cervix (20-25 mm) at mid-trimester: A retrospective cohort study.

OBJECTIVE: This study evaluates whether deep learning (DL)-based automated cervical length (CL) meas...

Comprehension of an AI-generated discharge letter versus a traditional discharge letter: two controlled quasi-experimental parallel-group studies.

BACKGROUND: Discharge letters are essential for continuity of care, yet patients often misunderstand...

[Clinical practice guideline for digital smoking cessation technologies (2026 edition)].

Given their accessibility, cost-effectiveness, and scalability, digital health technologies (DHTs) a...

Implications of the new US AI framework in medicine.

Artificial intelligence (AI) is entering medicine through diagnostic, administrative, and patient-fa...

Immature Platelet Fraction as an Independent Marker of Adverse Outcomes in an Intensive Cardiovascular Care Unit.

Platelet activation and thrombopoiesis are central to acute cardiovascular disease pathophysiology, ...

Nursing Roles in Diabetic Foot Ulcer Prevention, Wound Management, and Digital Monitoring.

Diabetic foot ulcers (DFUs) remain a major cause of infection, hospitalization, impaired quality of ...

Beyond traditional biopsy: integrating liquid biopsy, molecular panels, and advanced imaging techniques in thyroid cancer management.

The incidence of thyroid cancer has increased dramatically over the past four decades, making it the...

Comparative Evaluation of Large Language Models in Frontal Sinus Fracture Management: A Multidisciplinary Expert-Based Vignette Study.

Frontal sinus fracture management requires integration of aesthetic, sinonasal, and intracranial ris...

Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study.

BACKGROUND: Hospitals worldwide need to upskill their workforce in advanced AI technologies; yet, pu...

Privacy Leakage in Federated Learning in Radiology Reports: Comparative Evaluation of Tokenizer and Batch-Size Privacy Risks.

BACKGROUND: Federated learning (FL) enables multi-institutional model training on clinical text with...