Primary Care

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

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Research Representing the Changing Landscape of Family Medicine.

Family medicine continues to evolve in response to new technologies, new theories, and new problems ...

Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening-based approaches.

Cancer management is major concern of health organizations and viral cancers account for approximate...

Breast Cancer Screening and Outcomes Disparities Persist for Native American Women.

Over the past three decades, mortality rates from breast cancer have decreased for multiple racial g...

[Exploration and practice of artificial intelligence assisted primary vision health management].

It has attracted much attention worldwide that the application of artificial intelligence (AI) in pr...

Deep Learning-Based System for Disease Screening and Pathologic Region Detection From Optical Coherence Tomography Images.

PURPOSE: This study was designed to apply deep learning models in retinal disease screening and lesi...

Development of a Web Application based on Machine Learning for screening esophageal varices in cirrhosis.

INTRODUCTION: Esophageal varices (EV) are a common manifestation of portal hypertension in cirrhotic...

Advancing Diabetic Retinopathy Diagnosis: Leveraging Optical Coherence Tomography Imaging with Convolutional Neural Networks.

Diabetic retinopathy (DR) is a vision-threatening complication of diabetes, necessitating early and ...

In Vitro Antiviral Activity of a New Indol-3-carboxylic Acid Derivative Against SARS-CoV-2.

The coronavirus disease (COVID-19) pandemic has brought into sharp relief the threat posed by corona...

ChatGPT: opportunities and risks in the fields of medical care, teaching, and research.

ChatGPT is a virtual assistant with artificial intelligence (AI) that uses natural language to commu...

[The first experience of robot-assisted bariatric surgery using the Senhance system in patients with morbid obesity].

OBJECTIVE: To study the results of robot-assisted bariatric surgery using the Senhance system in pat...

A knowledge-based decision support system for inferring supportive treatment recommendations for diabetes mellitus.

BACKGROUND: Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failure, ...

Deep Learning Algorithm of 12-Lead Electrocardiogram for Parkinson Disease Screening.

BACKGROUND: Although idiopathic Parkinson's disease (IPD) is increasing with the aging population, t...

New Horizons: Artificial Intelligence for Digital Breast Tomosynthesis.

The use of digital breast tomosynthesis (DBT) in breast cancer screening has become widely accepted,...

Artificial Intelligence in Efficient Diabetes Care.

Diabetes is a chronic disease that is not easily curable but can be managed efficiently. Artificial ...

Population-based active screening strategy contributes to the prevention and control of tuberculosis.

Despite the achievements obtained worldwide in the control of tuberculosis in recent years, many cou...

Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening.

Rigorous evaluation of artificial intelligence (AI) systems for image classification is essential be...

Deep learning identifies explainable reasoning paths of mechanism of action for drug repurposing from multilayer biological network.

The discovery and repurposing of drugs require a deep understanding of the mechanism of drug action ...

The Essence and Role of Nurses in the Future of Biomedical and Health Informatics.

The whole healthcare system is evolving fast due to environmental pressure related to pandemics, cli...

A framework of deep learning networks provides expert-level accuracy for the detection and prognostication of pulmonary arterial hypertension.

AIMS: To test the hypothesis that deep learning (DL) networks reliably detect pulmonary arterial hyp...

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