Primary Care

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

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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI.

Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring t...

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective.

BACKGROUND: Hepatitis B virus (HBV) can be transmitted from mother to child either through transplac...

Evaluating an AI Chatbot "Prostate Cancer Info" for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study.

BACKGROUND: Generative artificial intelligence (AI) chatbots may be useful tools for supporting shar...

Machine learning-assisted literature screening for a medication-use process-related systematic review.

PURPOSE: This article summarizes a novel methodology of applying machine learning (ML) algorithms tr...

Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study.

Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease dete...

Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics.

Dementia spectrum disorders, characterized by progressive cognitive decline, pose a significant glob...

Advances in gastrointestinal endoscopy: A comprehensive review of innovations in cancer diagnosis and management.

The field of gastroenterology has experienced revolutionary advances over the past years, as flexibl...

Facilitating Screening of MOFs for Mixed Matrix Membranes Using Machine Learning and the Maxwell Model.

Metal organic framework (MOF)-based mixed-matrix membranes (MMMs), which embed MOF particles in poly...

Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.

Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim o...

Long Short-Term Memory Network for Accelerometer-Based Hypertension Classification.

This study investigates the application of a Long Short-Term Memory (LSTM) architecture for classify...

Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review.

AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose ...

Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.

Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public h...

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption.

BACKGROUND: Artificial intelligence (AI) studies show promise in enhancing accuracy and efficiency i...

Effects of neonicotinoid pesticide exposure in the first trimester on gestational diabetes mellitus based on interpretable machine learning.

BACKGROUND: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications an...

Exploring Bio-Impedance Sensing for Intelligent Wearable Devices.

The rapid growth of wearable technology has opened new possibilities for smart health-monitoring sys...

Artificial Intelligence and Assistive Robotics in Healthcare Services: Applications in Silver Care.

Artificial intelligence (AI) and assistive robotics can transform older-person care by offering new,...

Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005-2020.

Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes signi...

The gut microbiome and metabolome in children with a first febrile urinary tract infection: a pilot study.

BACKGROUND: Urinary tract infection (UTI) is a common bacterial infection in the pediatric populatio...

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