Hospital-Based Medicine

PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification.

OBJECTIVE: With expanding applications of artificial intelligence technology in the medical field, L...

Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are incre...

Performance of Machine Learning Models in Predicting Outcomes After ACDF: A Systematic Review and Meta-Analysis of 443 000 Patients.

Study DesignSystematic review and meta-analysis.ObjectiveDirect head-to-head comparison of machine l...

Evaluating the efficacy of large language models in predicting intensive care unit admission needs.

BACKGROUND: Timely identification and transfer of critically ill patients to intensive care units (I...

Point-of-care ultrasound in the modern era of emergency medicine: a narrative review of the recent literature.

PURPOSE OF REVIEW: Point-of-care ultrasound (POCUS) has transformed emergency medicine by providing ...

Predictive model of cognitive dysfunction among the patients with systemic lupus erythematosus.

BACKGROUND: Cognitive dysfunction (CD) is a frequent but often underrecognized clinical feature in s...

Are diagnostic technologies for alzheimer's disease and dementia cost-effective? A systematic review of economic evaluations.

BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden gl...

Interfacial Modification of Nanochannels for Enhanced Detection Accuracy in Complex Matrices.

Solid-state nanochannels, as an emerging single-molecule sensing platform, have shown great potentia...

Lessons learned from an executive leadership development program, and their impact in academic radiology.

Academic medical centers, and particularly academic radiology, are undergoing profound transformatio...

Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review.

BACKGROUND: Postacute care (PAC) services are important to ensure functional recovery and provide ad...

Machine learning for predicting functional outcomes in acute ischemic stroke: insights from a nationwide stroke registry.

Accurately predicting the prognosis of patients with acute ischemic stroke at discharge remains high...

The efficiency paradox of discharge masking head loss in run-of-river hydropower generation.

While climate impacts on hydropower output are well-documented, plant efficiency, the critical ratio...

Prehospital transfusion strategies in haemorrhagic shock.

BACKGROUND: Massive transfusion protocols are established in-hospital practices for managing haemorr...

Assessing in-hospital mortality risk in ICU lung cancer patients using machine learning: An analysis based on the MIMIC-IV database.

BACKGROUND: Patients with advanced lung cancer admitted to the intensive care unit (ICU) face a subs...

"I Double Checked It with My Own Knowledge:" Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making.

BACKGROUND: AI chatbots are proliferating in healthcare systems. It is essential to explore how phys...

The effect of AI-assisted bedside echocardiography on inpatient care: a prospective trial.

AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However...

Psychiatric Documentation and Management in Primary Care With Artificial Intelligence Scribe Use.

IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scrib...

Dual Ontology-enhanced Clinical Decision Learning for First-admission Mortality Prediction.

Time-series based deep learning methods have significantly improved performance of predictive health...

Multidisciplinary artificial intelligence systems versus single-model approaches for the diagnosis and management of ileus and volvulus.

BACKGROUND AND AIMS: The accurate and timely diagnosis of ileus versus volvulus is essential in emer...

Multidimensional analysis of clinical pharmacist intervention impact on hospital length of stay in pulmonary tuberculosis: a random forest-driven retrospective study.

[Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning].

OBJECTIVES: To develop and validate a multimodal radiomics model based on machine learning for predi...