Primary Care

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

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[The innovation and challenge of artificial intelligence in the whole process management of fundus disease].

Artificial intelligence (AI) has demonstrated revolutionary potential and wide-ranging applications ...

Jul 2024 38955757
Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.

Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice a...

Jul 2024 38925729
Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography.

Purpose To investigate the issues of generalizability and replication of deep learning models by ass...

Jul 2024 38717291
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort.

Purpose To develop an artificial intelligence (AI) deep learning tool capable of predicting future b...

Jul 2024 38775671
Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US.

Background Comparative performance between artificial intelligence (AI) and breast US for women with...

Jul 2024 39041940
Through the Looking Glass Darkly: How May AI Models Influence Future Underwriting?

Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditio...

Jul 2024 39266001
Ensemble Learning Approaches for Automatic Detection of Chronic Kidney Disease Stages during Sleep.

This study investigates the use of ensemble learning methods for the automatic detection of chronic ...

Jul 2024 40039046
Identifying Prediabetes in Canadian Populations Using Machine Learning.

Prediabetes is a critical health condition characterized by elevated blood glucose levels that fall ...

Jul 2024 40039200
Predicting Diabetes in Canadian Adults Using Machine Learning.

Rising diabetes rates have led to increased healthcare costs and health complications. An estimated ...

Jul 2024 40039301
Geno-GCN: A Genome-specific Graph Convolutional Network for Diabetes Prediction.

Drawing inspiration from convolutional neural networks, graph convolutional networks (GCNs) have bee...

Jul 2024 40039720
Noninvasive detection of diabetes in obstructive sleep apnea based on overnight SpO signal and deep learning.

The prevalence of obstructive sleep apnea comorbid with diabetes is high while the awareness of diab...

Jul 2024 40039742
Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease.

The importance of early Alzheimer's Disease screening is becoming more apparent, given the fact that...

Jul 2024 40040194
Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach

Understanding the complex relationships of biomarkers in diabetes is pivotal for advancing treatme...

Pervasive Technology-Enabled Care and Support for People with Dementia: The State of Art and Research Issues

Dementia is a mental illness that people live with all across the world. No one is immune. Nothing...

Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks

Tuberculosis persists as a global health crisis, especially in resource-limited populations and re...

Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes

Calculating mealtime insulin doses poses a significant challenge for individuals with Type 1 Diabe...

Understanding active learning of molecular docking and its applications

With the advancing capabilities of computational methodologies and resources, ultra-large-scale vi...

Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs

Early disease detection in veterinary care relies on identifying subclinical abnormalities in asym...

Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data

Behavior-disease models suggest that pandemics can be contained cost-effectively if individuals ta...

Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle

Fairness is one of the most commonly identified ethical principles in existing AI guidelines, and ...

Detection of Acetone as a Gas Biomarker for Diabetes Based on Gas Sensor Technology

With the continuous development and improvement of medical services, there is a growing demand for...

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