Medicolegal

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a "Fall Prevention" Data Module: Development Study.

BACKGROUND: In aging populations, the demand for care, including care delivery in long-term care (LTC) facilities, is increasing. This situation highlights the need to optimize care processes through continuous scientific evaluation. The use of artificial intelligence (AI) has the potential for use in nursing research, but it experiences a lack of standardization and structuring of nursing data. A...

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review.

BACKGROUND: Routine healthcare data are increasingly stored in electronic health records (EHRs), presenting an exciting opportunity to leverage machine learning (ML) for detecting and predicting medical events. While medical experts are optimistic about expanding its applications, several caveats exist which are often overlooked. Many medical outcomes are categorical (e.g., a diagnosis is present ...

Should AI results be disclosed in mammography reports? A randomised survey study of patient responses to concordant and discordant interpretations.

OBJECTIVES: To assess how disclosing artificial intelligence (AI) results, particularly discordant findings, affects patient trust, anxiety, follow-up...

Integrated transcriptomic and metabolomic analysis identifies C5NT1AL as a candidate gene influencing inosine monophosphate levels in chicken breast muscle.

Inosine monophosphate (IMP) is a key umami-related nucleotide that contributes substantially to chicken meat flavor. This study aimed to elucidate the...

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant opportunities for enhancing patient care through a...

Biosignatures of cognitive basic symptoms mark a distinct neurodevelopmental pathway to schizophrenia.

Efforts to predict schizophrenia risk using biological data have been hampered by the heterogeneity of current "clinical-high-risk" (CHR-P) criteria, ...

Real-time automated billing for tobacco treatment: performance evaluation of the CigStopper machine learning framework.

OBJECTIVE: To evaluate CigStopper, a machine learning algorithm designed to predict billing eligibility for tobacco cessation counseling (CPT 99406/99...

Tissue-resolved molecular landscape reveals hepatic regulatory networks and metabolic mediators underlying feed efficiency in chickens.

INTRODUCTION: Residual feed intake (RFI) is a key indicator of feed efficiency in poultry and is regulated by coordinated physiological processes acro...

Possible quality indicators for clinical infectious diseases consultations - results from a hybrid Delphi-nominal group approach and scenario study.

SCOPE: Infectious diseases consultation (IDC) services contribute to optimized infection management and are associated with improved outcomes, particu...

A comprehensive European Colorectal Cancer Cohort dataset.

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The Biobanking and Biomolecular Resources European Research Infrastruct...

Evaluation of a Facial Dysmorphology Analysis Algorithm (Face2Gene) in Identifying Treacher Collins Syndrome Amongst Diverse Population.

BACKGROUND: Treacher Collins Syndrome (TCS) is an uncommon congenital disease of the craniofacial complex. While there are 'classic' facial manifestat...

AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study.

BACKGROUND: Mental health providers (MHPs) face a significant administrative burden from documentation, which can contribute to burnout and reduce tim...

Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study.

BACKGROUND: The global nursing shortage, exacerbated by heavy workloads and high turnover rates associated with the COVID-19 pandemic, continues to un...

Automated auditing of emergency department documentation using large language models.

INTRODUCTION: Errors in emergency department (ED) documentation can lead to patient harm and medicolegal risk, however manual document auditing is res...

PIBAdb: a public cohort of multimodal colonoscopy videos and images including polyps with histological information.

BACKGROUND AND OBJECTIVE: Colorectal cancer is the third most common cancer worldwide and presents a high mortality rate. Colonoscopy is the gold stan...

Explainable Machine Learning for High-Resolution Modeling of Long-Term Atmospheric Nitrogen and Sulfur Wet Deposition across the United States.

Wet deposition of nitrogen and sulfur compounds is a major pathway through which atmospheric pollutants influence ecosystem nutrient cycles and region...

Enhanced Transcytosis and Retention (ETR) of Drug Delivery Nanocarrier in Solid Tumors.

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothe...

Artificial Intelligence in Military Graduate Medical Education: Trainee Perceptions and Current Use.

ISSUE: Interest in artificial intelligence (AI) has surged recently, with healthcare being no exception. As free, widely accessible AI interfaces grow...

Brand identification of roller-type date stamps based on impression features.

Roller-type date stamps have become increasingly used in recent years within Chinese low-cost manufacturing and packaging sectors to mark production a...

Estimating proton density fat fraction using computed tomography attenuation in skeletal muscle and adipose tissue in a prospective clinical cohort.

BACKGROUND: Proton density fat fraction (PDFF) measured using magnetic resonance imaging (MRI) is considered a noninvasive reference measure of fat de...