Primary Care

An overview of artificial intelligence based automated diagnosis in paediatric dentistry.

Artificial intelligence (AI) is a subfield of computer science with the goal of creating intelligent...

Identification of STAT3 phosphorylation inhibitors using generative deep learning, virtual screening, molecular dynamics simulations, and biological evaluation for non-small cell lung cancer therapy.

The development of phosphorylation-suppressing inhibitors targeting Signal Transducer and Activator ...

Improving search strategies in bibliometric studies on machine learning in renal medicine.

This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learnin...

Breath Analyzer for Real-Time Exercise Fat Burning Prediction: Oral and Alveolar Breath Insights with CNN.

The increasing prevalence of obesity and metabolic disorders has created a significant demand for pe...

Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7.

Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and repro...

Optimizing hypertension prediction using ensemble learning approaches.

Hypertension (HTN) prediction is critical for effective preventive healthcare strategies. This study...

Machine learning analysis of CD4+ T cell gene expression in diverse diseases: insights from cancer, metabolic, respiratory, and digestive disorders.

CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestr...

Enhancing diagnostic accuracy in breast cancer: integrating novel machine learning approaches with enhanced image preprocessing for improved mammography analysis.

PURPOSE: This study explored the use of computer-aided diagnosis (CAD) systems to enhance mammograph...

Silent Signals: Advancing Incidental Lung Nodule Screening Through Artificial Intelligence Innovation.

Advanced Mass-Spectra-Based Machine Learning for Predicting the Toxicity of Traditional Chinese Medicines.

Traditional Chinese medicine (TCM) has been a cornerstone of health care for centuries, valued for i...

Comparison of the Accuracy, Completeness, Reproducibility, and Consistency of Different AI Chatbots in Providing Nutritional Advice: An Exploratory Study.

: The use of artificial intelligence (AI) chatbots for obtaining healthcare advice is greatly increa...

Automated feature selection for early keratoconus screening optimization.

In this paper, an automated feature selection (FS) method is presented to optimize machine learning ...

Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose.

BACKGROUND: Accurate fasting plasma glucose (FPG) trend prediction is important for management and t...

Predicting electronic screening for fast Koopmans spectral functional calculations.

Koopmans spectral functionals are a powerful extension of Kohn-Sham density-functional theory (DFT) ...

Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes.

Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prev...

Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme.

AIMS: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retino...

Diagnostic Accuracy of Artificial Intelligence-Based Chest X-Ray reading for screening of Tuberculosis.

BACKGROUND: Tuberculosis remains a public health challenge in Nepal and ranks as the seventh leading...

A Machine Learning Classification Model for Gastrointestinal Health in Cancer Survivors: Roles of Telomere Length and Social Determinants of Health.

BACKGROUND: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors,...

Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study.

BACKGROUND: Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by frequent pa...

Advanced analytical methods for multi-spectral transmission imaging optimization: enhancing breast tissue heterogeneity detection and tumor screening with hybrid image processing and deep learning.

Light sources exhibit significant absorption and scattering effects during the transmission through ...

Identification and validation of the diagnostic biomarker MFAP5 for CAVD with type 2 diabetes by bioinformatics analysis.

INTRODUCTION: Calcific aortic valve disease (CAVD) is increasingly prevalent among the aging populat...