Primary Care

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

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Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.

Background Use of artificial intelligence (AI) as a stand-alone reader for digital mammography (DM) ...

Ensemble of EfficientNets for the Diagnosis of Tuberculosis.

Tuberculosis (TB) remains a life-threatening disease and is one of the leading causes of mortality i...

Opportunistic Osteoporosis Screening Using Chest Radiographs With Deep Learning: Development and External Validation With a Cohort Dataset.

Osteoporosis is a common, but silent disease until it is complicated by fractures that are associate...

Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds.

Chronic wounds, or wounds that are not healing properly, are a worldwide health problem that affect ...

Machine-Learning-Enabled Virtual Screening for Inhibitors of Lysine-Specific Histone Demethylase 1.

A machine learning approach has been applied to virtual screening for lysine specific demethylase 1 ...

Artificial intelligence and cardiology: Current status and perspective.

The development of artificial intelligence (AI) began in the mid-20th century but has been rapidly a...

A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world study.

BACKGROUND: The aim of our research was to prospectively explore the clinical value of a deep learni...

Predictive models for personalized asthma attacks based on patient's biosignals and environmental factors: a systematic review.

BACKGROUND: Asthma is a chronic disease that exacerbates due to various risk factors, including the ...

A Comparative Performance Assessment of Optimized Multilevel Ensemble Learning Model with Existing Classifier Models.

To predict the class level of any classification problem, predictive models are used and mostly a si...

xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography.

Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19) across the globe has p...

Identifying Microbe-Disease Association Based on a Novel Back-Propagation Neural Network Model.

Over the years, numerous evidences have demonstrated that microbes living in the human body are clos...

Categorical Matrix Completion With Active Learning for High-Throughput Screening.

The recent advances in wet-lab automation enable high-throughput experiments to be conducted seamles...

Using Convolutional Neural Networks to Measure the Physiological Age of Caenorhabditis elegans.

Caenorhabditis elegans (C. elegans) is a popular and excellent model for studies of aging due to its...

Optimizing hepatitis B virus screening in the United States using a simple demographics-based model.

BACKGROUND AND AIMS: Chronic hepatitis B (CHB) affects >290 million persons globally, and only 10% h...

Choquet Integral and Coalition Game-Based Ensemble of Deep Learning Models for COVID-19 Screening From Chest X-Ray Images.

Under the present circumstances, when we are still under the threat of different strains of coronavi...

Newborn Eye Screening as an Application of AI.

Artificial intelligence (AI) applications are diverse and serve varied functions in clinical practic...

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