Primary Care

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

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Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach.

In this study, a flexible deep learning system for breath analysis is created using an optimal hybri...

Multiple generation distinct toxicant exposures induce epigenetic transgenerational inheritance of enhanced pathology and obesity.

Three successive multiple generations of rats were exposed to different toxicants and then bred to t...

European validation of an image-derived AI-based short-term risk model for individualized breast cancer screening-a nested case-control study.

BACKGROUND: Image-derived artificial intelligence (AI)-based risk models for breast cancer have show...

An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors.

Cytochrome P450 3A4 (CYP3A4), a prominent member of the P450 enzyme superfamily, plays a crucial rol...

Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review.

PURPOSE: Diabetes is a major public health challenge with widespread prevalence, often leading to co...

Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis.

BACKGROUND: The use of machine learning and deep learning techniques in the research on diabetes has...

Evaluation of deep learning-based depression detection using medical claims data.

Human accuracy in diagnosing psychiatric disorders is still low. Even though digitizing health care ...

EUS coil and glue for gastric varices-prevent, treat and rescue, one therapy to rule them all?

BACKGROUND AND OBJECTIVES: In portal hypertension, gastric varix-associated bleeding is known to hav...

Protein profile pattern analysis: A multifarious, in vitro diagnosis technique for universal screening.

Universal health care is attracting increased attention nowadays, because of the large increase in p...

A Smart Sensing Technologies-Based Intelligent Healthcare System for Diabetes Patients.

An Artificial Intelligence (AI)-enabled human-centered smart healthcare monitoring system can be use...

Machine learning approach reveals microbiome, metabolome, and lipidome profiles in type 1 diabetes.

INTRODUCTION: Type 1 diabetes (T1D) is a complex disorder influenced by genetic and environmental fa...

A multimodal screening system for elderly neurological diseases based on deep learning.

In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We pr...

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.

OBJECTIVES: Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) a...

A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning.

PURPOSE: We applied machine learning to study associations between regional body fat distribution an...

Hypotensive and Endothelium-Dependent Vasorelaxant Effects of Grayblue Spicebush Ethanol Extract in Rats.

Hypertension is one of the most common chronic diseases, and its prevalence is increasing worldwide....

The leading global health challenges in the artificial intelligence era.

Millions of people's health is at risk because of several factors and multiple overlapping crises, a...

Trapdoor endarterectomy for coral reef plaque of the paravisceral aorta in the modern era.

Coral reef atherosclerosis of the paravisceral aorta is a rare disease whose description is confined...

Using electronic health record metadata to predict housing instability amongst veterans.

Housing instability is considered a significant life stressor and preemptive screening should be app...

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