Primary Care

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

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Artificial intelligence-aided data mining of medical records for cancer detection and screening.

The application of artificial intelligence methods to electronic patient records paves the way for l...

Predicting Suicides Among US Army Soldiers After Leaving Active Service.

IMPORTANCE: The suicide rate of military servicemembers increases sharply after returning to civilia...

A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction.

Many human diseases result from a complex interplay of behavioral, clinical, and molecular factors. ...

Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

Artificial Intelligence Chatbots in Patient Communication: Current Possibilities.

ChatGPT, an artificial intelligence (AI) chatbot, can generate text prompts based on user input. Thi...

[Research progress in the application of virtual artificial intelligence in risk assessment and diagnosis of periodontal disease].

Periodontal disease is a common and frequently-occurring disease in China. Early detection, diagnosi...

Harnessing Artificial Intelligence for the Detection and Management of Colorectal Cancer Treatment.

Currently, eight million people in the United States suffer from cancer and it is a major global hea...

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers.

Background Deep learning (DL) algorithms have shown promising results in mammographic screening eith...

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

OBJECTIVE: Individuals living with obesity are differentially susceptible to cardiometabolic disease...

Development and Validation of Machine Learning Models for Identifying Prediabetes and Diabetes in Normoglycemia.

BACKGROUND: Prediabetes and diabetes are both abnormal states of glucose metabolism (AGM) that can l...

Advancing Cancer Prevention through an AI-Based Integration of Traditional and Western Medicine.

Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer preven...

Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development-a systematic review.

During the COVID-19 pandemic, artificial intelligence (AI) models were created to address health-car...

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis.

BACKGROUND: Integrating artificial intelligence (AI) into mammography screening can support radiolog...

Potential Use and Limitation of Artificial Intelligence to Screen Diabetes Mellitus in Clinical Practice: A Literature Review.

The burden of undiagnosed diabetes mellitus (DM) is substantial, with approximately 240 million indi...

Predicting disease-associated microbes based on similarity fusion and deep learning.

Increasing studies have revealed the critical roles of human microbiome in a wide variety of disorde...

[Application of Artificial Intelligence in Sperm Quality Analysis and Sperm Screening].

Infertility is a global health issue, and more and more people are hoping to have babies by means of...

Artificial intelligence strengthens cervical cancer screening - present and future.

Cervical cancer is a severe threat to women's health. The majority of cervical cancer cases occur in...

Shaping the future of heart health.

For World Heart Day on September 24, 2024, the World Heart Federation urges nations to endorse natio...

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