Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Implementation of Big Data Analytics for Diabetes Management: Needs Assessment in the Rwanda Healthcare System

Diabetes is a chronic metabolic disease that can lead to serious health problems if not diagnosed an...

Privacy-Preserving Screening for Record Linkage

In an era dominated by big data and machine learning, establishing valuable data collaboration has n...

Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening

Modern deep learning offers powerful tools for automated retinal screening, but it remains unclear h...

MARVEL: Universal Murray's Law-informed Vessel Tree Segmentation and Topology Estimation

Vascular circulation follows fundamental biophysical principles that optimize mass transport and met...

Design and Validation of an AI-Assisted Sequential Screening Framework for Psychological Distress in Glaucoma

Purpose: Psychological distress is highly prevalent in glaucoma and is associated with worse adheren...

Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes

Diabetes is a global health burden, and early detection is critical for timely intervention. This st...

Predicting 30-Day Heart Failure Readmissions Using Machine Learning: Insights From the Kansas Health Information Network (KHIN)

Background: Heart failure (HF) is a major contributor to inpatient hospital utilization, with persis...

A Bioprinted Head and Neck Cancer Organoid-Based Platform for Evaluating Multimodal Therapies

Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...

Interpretable Predictive Modeling for Medical Data Using Boolean Rule-aware Regression

Purpose: In clinical practice, accurate prediction of disease risk must be accompanied by transparen...

Rheumatic Heart Disease Detection in Asymptomatic Schoolchildren using ECG and PCG

Rheumatic heart disease (RHD) remains a major public health concern across low- and middle-income co...

Evidential Reasoning Advances Interpretable Real-World Disease Screening

Disease screening is critical for early detection and timely intervention in clinical practice. Howe...

Knee Osteoarthritis Severity Grading Using Optimized Deep Learning and LLM-Driven Intelligent AI on Computationally Limited Systems

Knee osteoarthritis (KOA) is among the musculoskeletal disorders that considerably restrict joint mo...

Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models

In routine care, individuals identified a priori as high-risk are usually tested for conditions more...

Multilingual Evaluation of a Large Language Model-Based Primary Care Chatbot

Pre-visit planning has the potential to reduce EHR documentation burden while improving workflow eff...

Screening for Rheumatic Heart Disease in Asymptomatic Children using Machine Learning from Electrocardiograms

Early detection of Rheumatic Heart Disease (RHD) is essential in reducing its associated mortality a...

EffectorGeneP: accurate gene annotation in pathogen genomes from infection transcriptomes

Accurate gene annotation is crucial for inference of biological knowledge from genomes. However, non...

Combinatorial epigenomic patterns define regulatory programs underlying disease heterogeneity

Disease is a heterogeneous process that involves multiple organs and cell types. Understanding how g...

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