Prescriptions

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial.

BACKGROUND: Opioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated risk rely on imprecise rule-based criteria that misclassify patients' risk of this serious health outcome. Machine learning (ML) algorithms can help improve prediction performance and can be combined with electronic health record (EHR) interventions...

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiation of benign and malignant gastric ulcers during endoscopy, with the goal of enhancing diagnostic precision. METHODS: This was a multicenter, retrospective study collecting endoscopic images and videos from four tertiary hospitals in China. An improved YOLOv8 model, incorporating an illumination at...

Explainable and visualizable machine learning model development and validation for 5-year postoperative survival prediction in prostate cancer patients aged ≥ 65 years.

BACKGROUND: Machine Learning (ML) models have achieved outstanding performance in predicting post-surgical survival. However, the "black-box" nature o...

Classifying and visualizing medication use in the ABCD study.

Medication use during adolescence provides important insight into current health and treatment patterns. However, these data are often difficult to an...

FairCareNLP: An AI-driven patient review analyzer for healthcare.

OBJECTIVE: To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language Processing (NLP) and machine learning m...

Integrating human and nonhuman intelligence to reduce tobacco's public-health burden.

PURPOSE OF REVIEW: Tobacco use remains the leading preventable cause of death worldwide, while the rise of electronic nicotine products has sparked a ...

LigGen-a GEN-AI based ligand generation approach for de-novo drug design.

Navigating the vast chemical space to identify potent therapeutic agents with optimal pharmacokinetic properties remains a formidable bottleneck in ph...

Detection of benign prostatic hyperplasia using RGB prostate images and deep learning.

This study investigates the identification of Benign Prostatic Hyperplasia (BPH) through a deep learning-based analysis of RGB prostate histopathologi...

Solution-Tunable Interfacial Interaction Landscape Governs Anomalous Nanoparticle Diffusion in Liquid-Phase Electron Microscopy.

Understanding how nanoparticles move near liquid-solid interfaces is central to nanoscale transport in catalysis, biology, and soft materials. Here, w...

Development and Internal Validation of a Machine Learning Model for Predicting Long-Term Opioid Therapy After Hip Fracture Surgery in Older, Opioid-Naïve Adults.

BACKGROUND: Long-term opioid therapy (LTOT) after hip fracture surgery is a common postoperative complication associated with adverse outcomes, yet to...

ADME-DTI: Augmented Deep Meta Ensemble for Drug-Target Interaction Prediction.

Drug-target interaction represents a critical focus area in computational drug discovery and pharmaceutical research. However, the process of identify...

Evaluation of artificial intelligence generated immersive virtual reality simulation on skill mastery.

BACKGROUND: Nursing education faces challenges in providing nursing students with sufficient clinical site opportunities due to healthcare staffing sh...

Harnessing artificial intelligence for pediatric health: Current trends and future opportunities.

Artificial intelligence (AI) is transforming pediatric healthcare, offering novel opportunities for early diagnosis, personalized treatment, and more ...

Automated approaches to identifying clinical trials based on title and abstract in the field of physiotherapy: a comparative analysis.

OBJECTIVE: To compare accuracy, precision, recall, F1 and time spent using commercial tools to identify physiotherapy trials based on title and abstra...

Rational use of expensive medicines in the Netherlands: strategies to improve effectiveness and reduce burden on patients and society - a narrative review.

BACKGROUND: While new expensive medicines often offer substantial benefits to patients, they can carry inherent drawbacks such as uncertainty regardin...

Explainable prediction of MDR/RR-TB in tuberculosis-diabetes mellitus multimorbidity: a machine learning model developed and validated in a dual-center study.

BACKGROUND: Tuberculosis-diabetes mellitus (TB-DM) multimorbidity significantly increases the risk of multidrug-resistant/rifampicin-resistant tubercu...

Interpretable Deep Survival Analysis of Alzheimer's Disease via Metabolic Genetic Variants.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disease. Traditional models for estimating AD onset cannot capture nonlinear i...

A scoping review of quality prescribing indicators, rules and criteria for primary care.

Medication-related problems (MRPs) place a substantial burden on the healthcare system, contributing to hospital admissions and significant healthcare...

When brand prominence mutes uniqueness: Deconstructing the prominence paradox with network science and machine learning.

This study investigates the "Prominence Paradox": how market prominence paradoxically suppresses brand uniqueness signals. Grounded in dual-process th...

Identification of tolerogenic dendritic cells-related prognostic biomarkers in Wilms tumor via machine learning integration.

Wilms tumor (WT) is the most common pediatric kidney cancer. Tolerogenic dendritic cells (TolDCs) promote tumor immune evasion in the tumor microenvir...