Hospital-Based Medicine

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.

Goals of Care Transitions following Postoperative Undertriage.

BACKGROUND: This study tests the hypothesis that postoperative undertriage of high-acuity patients t...

Artificial Intelligence Competencies and Educational Needs Among ERNICA Members: Results of a Multinational Survey.

INTRODUCTION: Artificial Intelligence (AI) is increasingly recognized as a transformative force in h...

An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study.

Sepsis is a major global health crisis where early recognition and effective management remain signi...

Machine learning-based risk modeling for safety-focused learning curve assessment in robotic left-sided colorectal cancer surgery.

The transition from laparoscopic to robotic surgery for left-sided colorectal cancer raises safety c...

Interpretable machine learning model for predicting in-hospital mortality in elderly acute pancreatitis: Development and validation in a multicenter cohort.

BACKGROUND: Elderly acute pancreatitis (AP) patients face significantly higher in-hospital all-cause...

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre cohort study.

BACKGROUND: Precancerous gastric lesions (PLGC) are a critical stage in gastric cancer progression, ...

A novel hypothetical protein (SAUSA300_1684) confers excellent protection against multi-drug-resistant Staphylococcus aureus infection in the murine model.

Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pn...

A Study on the Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: A Prospective Randomized Controlled Trial.

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially li...

Rebuilding the pelvis: advances in robotic-assisted management of complex pelvic fractures.

Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy ...