Primary Care

Automated detection of neonatal pulmonary hypertension in echocardiograms with a deep learning model.

BACKGROUND: In infants, pulmonary hypertension (PH) increases morbidity and mortality. Echocardiogra...

Imaging in chronic thromboembolic pulmonary hypertension: review of the current literature.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a severe, life-threatening complication of ...

Exploring emerging physician competencies: Analyzing insights from medical care influencers on X.

PURPOSE: In the post-COVID era, recognizing evolving physician competencies is crucial for guiding m...

Long-Term Outcomes and Cost-Effectiveness of Artificial Intelligence for Breast Cancer Screening: A Modeling Study.

OBJECTIVES: Artificial intelligence (AI)-assisted breast cancer screening may improve diagnostic acc...

Causal Transformer for Learning Embeddings from Structured Medical History Records and Multi-Source Data Integration for Complex Disease Risk Prediction.

Traditional disease risk prediction models predominantly rely on statistical algorithms and often fo...

Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).

BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underse...

Analysis of Water Fluoridation Debates on Meta Platforms Using Advanced Machine Learning Approaches.

Social media platforms, such as Facebook and Instagram, play a pivotal role in shaping public opinio...

DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation.

Retinal vascular morphology plays a crucial role in diagnosing diseases such as diabetes, glaucoma, ...

Advances in high-throughput drug screening based on pharmacotranscriptomics.

BACKGROUND: Drug screening constitutes the predominant paradigm for novel drug discovery. With the d...

Customizing AI-based screening with real-world data: Practical insights from diabetic retinopathy.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss in middle-aged adults globally....

Three-Dimensional Total Body Photography Enables Automated Obesity-Related Comorbidity Screening in Dermatology.

An economic scenario analysis of implementing artificial intelligence in BreastScreen Norway-Impact on radiologist person-years, costs and effects.

ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision suppor...

Utility of Multiclass Machine Learning Algorithms in Predicting Same-Day Discharge Following Primary Total Knee Arthroplasty.

BACKGROUND: Length of stay (LOS) is a substantial driver of costs following primary total knee arthr...

Development and Validation of a Machine Learning-Based Risk Prediction Model for Delirium in Older Inpatients: A Prospective Cohort Study.

AIMS: To develop and validate a machine learning-based risk prediction model for delirium in older i...

Optimizing guideline-directed medical therapy in chronic kidney disease and type 2 diabetes mellitus patients in primary care.

BACKGROUND: Despite KDIGO (Kidney Disease: Improving Global Outcomes) recommendations for renin-angi...

Prediction of Response to Spinal Cord Stimulation Using Machine Learning Based on Radiomics and Patient-Reported Outcomes.

BACKGROUND AND OBJECTIVES: Chronic pain affects more patients than cancer, diabetes, and heart disea...

Integrative machine learning approach to risk prediction for dementia and Alzheimer's disease.

Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characte...

Screening for Barrett Esophagus and Esophageal Adenocarcinoma: Approaches and Outcomes.

Barrett esophagus (BE) is the only known histological precursor to esophageal adenocarcinoma (EAC). ...

Adaptive Graph Prompting Meets Contrastive Learning: A Multi-View Framework for Metabolite-Disease Association Prediction.

Metabolite-disease associations (MDAs) are critical for advancing precision medicine, yet existing c...

Clinical Decision Support Systems in Generalist Practice: Utilizing Clinical Decision Support Systems Tools to Improve Clinical Decisions and Patient Outcomes.

Clinical decision support systems (CDSS) can impact clinical care through improved care processes an...

Machine Learning in Venous Thromboembolism-Why and What Next?

Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, desp...