Medicare

Automated Multi-Label Adverse drug Reaction Extraction from Malaysia's National Pharmacovigilance Narratives.

Extracting multiple adverse drug reaction (ADR) terms from unstructured narratives remains challenging, particularly under severe label imbalance that limits the detection of rare ADRs. This study aimed to develop and evaluate a multi-label natural language processing framework for automated ADR extraction within Malaysia's national pharmacovigilance reporting system. We evaluated classical machin...

Needs and Concerns Regarding a Pediatric Palliative Telehealth App for Use in Palliative Home Care for Adults Among Providers in Germany: Embedded Mixed Methods Study.

BACKGROUND: Specialized outpatient palliative care (SOPC) provides home-based care for terminally ill patients and is associated with improved quality of life and prolonged survival. Due to its decentralized structure and growing demand, SOPC is a key target for digital transformation. Telehealth, mobile health, and AI offer considerable potential benefits but also present challenges, particularly...

Chemogenomic sets: valuable tools for early-stage drug discovery.

Small-molecule chemical probes are foundational to biomedical research as they enable interrogation of the function of individual proteins within biol...

Conformal reliability assessment of PPG-based ICU arrhythmia classification under class imbalance and patient heterogeneity.

Deep learning models for photoplethysmography (PPG)-based arrhythmia detection in intensive care are often evaluated by average accuracy, while confor...

Balancing technical and social controls across performance measurement and management stages: a bibliometric synthesis of digitally enabled healthcare performance management.

PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, ...

Coverage-Dependent Lateral Interactions Shape the Electrocatalytic Activity of High-Entropy Alloys.

While the rich diversity of surface sites on high-entropy alloys (HEAs) is essential for tuning electrocatalytic activity, the coverage-dependent late...

Mortality risk estimation for autistic older adults: comparing novel machine-learning derived weights versus standard weights for the Charlson Comorbidity Index.

Aim: We aimed to compare Quan and colleagues (2011) established weights for the Charlson Comorbidity Index (CCI) conditions to autism-specific weights...

Heterogeneity in the association between antihypertensive medications and Alzheimer's disease and related dementias risk: A multidimensional machine learning analysis to inform drug repurposing.

BackgroundAlzheimer's disease and related dementias (ADRD) place an immense burden on patients, families, and health systems in the United States. Hyp...

Dynamic Closed-Loop Medical Record Quality Management Using an AI-Driven Multilevel Quality Control System: Development and Implementation Study.

BACKGROUND: As the core documentation of the clinical diagnosis and treatment process, the quality of medical records is directly related to medical s...

Prediction and Experimental Verification of Electrolyte Solvation Structure from an OMol25-Trained Interatomic Potential.

A molecular-level understanding of electrolyte solvation structure and ion-ion correlations is critical to developing next-generation battery chemistr...

Optimization of Multiparametric MRI Sequence Combinations for Early Detection of Chronic Kidney Disease.

RATIONALE AND OBJECTIVES: To evaluate renal multiparametric MRI sequence combinations for early chronic kidney disease (CKD) detection and identify an...

Synergizing machine learning and chemometrics with voltammetric fingerprinting for the rapid detection of Piper retrofractum adulteration.

Long pepper is a prominent medicinal plant, extensively utilized as a bioactive constituent in traditional Asian medicine, including in Ayurvedic, Tra...

Battling the Bots and Defending Against Fraudulent Responses in an International Community-Engaged Web-Based Survey With People Living With Long COVID: Methodological Study.

BACKGROUND: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence a...

Broad-coverage targeted lipidomics reveals stage-specific lipid metabolic profiles and diagnostic and prognostic marker panels in ischemic stroke.

BACKGROUND: Ischemic stroke (IS) is a major cause of mortality and disability globally, with challenges in early diagnosis and prognosis prediction. D...

Weightbearing CT Evaluation of Contact and Distance Mapping of the First Tarsometatarsal and Metatarsophalangeal Joints Following MIS Hallux Valgus Correction.

BackgroundThree-dimensional distance and coverage mapping (DM and CM) generated through weightbearing CT (WBCT) can aid in understanding the complex a...

Machine Learning-Based Prediction of Planned Home Care Follow-Up Intervals in Older Adults: Evidence From the YASAM Observational Cohort.

OBJECTIVES: To develop and validate machine learning models for predicting clinician-determined follow-up interval categories in home care services am...

Benchmarking deep learning pipelines for surgical instrument segmentation in endoscopic spine surgery: cross-dataset evaluation under deployment-realistic conditions.

PURPOSE: Automated surgical instrument segmentation is a prerequisite for AI-assisted guidance in endoscopic spine surgery. Deployment-realistic compa...

Reducing overconfident errors in clinical prediction models.

Machine Learning (ML) models are increasingly being used in clinical workflows. Evaluation of these models tends to focus on global performance metric...

The role of artificial intelligence in clinical trials in adult and pediatric rheumatology.

The development of clinical trials is limited by high costs and methodological complexities. In this context, artificial intelligence (AI) is emerging...

Coverage-Dependent Lateral Interactions Shape the Electrocatalytic Activity of High-Entropy Alloys.

While the rich diversity of surface sites on high-entropy alloys (HEAs) is essential for tuning electrocatalytic activity, the coverage-dependent late...