Primary Care

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Boosting polyp screening with improved point-teacher weakly semi-supervised.

Polyps, like a silent time bomb in the gut, are always lurking and can explode into deadly colorecta...

SNER: Semi-Supervised Named Entity Recognition for Large Volume of Diabetes Data.

The medical literature and records on diabetes provide crucial resources for diabetes prevention and...

Machine learning algorithms to predict stroke in China based on causal inference of time series analysis.

IMPORTANCE: Identifying and managing high-risk populations for stroke in a targeted manner is a key ...

Identifying the key factors of mercury exposure in residents of southwestern Iran using machine learning algorithms.

It is necessary to predict hair mercury (Hg) levels and specify the related effective factors to dev...

Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis.

Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most wom...

Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services.

Cardiovascular disease (CVD) is one of the severe disorders that requires effectual solutions. CVD m...

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.

BACKGROUND: Conventional approaches for major depressive disorder (MDD) screening rely on two effect...

The role of mitochondrial dysfunction in the pathogenesis of atherosclerosis: A new exploration from bioinformatics analysis.

Atherosclerosis (AS) is a complex cardiovascular disease associated with mitochondrial dysfunction (...

Sarcopenia and frailty: An in-depth analysis of the pathophysiology and effect on liver transplant candidates.

Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...

Prediction of coronary heart disease based on klotho levels using machine learning.

The diagnostic accuracy for coronary heart disease (CHD) needs to be improved. Some studies have ind...

Artificial Intelligence Tools for Preconception Cardiomyopathy Screening Among Women of Reproductive Age.

PURPOSE: Identifying cardiovascular disease before conception and in early pregnancy can better info...

Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach.

INTRODUCTION: Cervical cancer, which includes squamous cell carcinoma and adenocarcinoma, is a leadi...

Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.

The fusion of traditional chemical descriptors with graph neural networks (GNNs) offers a compelling...

Integrating Machine Learning-Based Pose Sampling with Established Scoring Functions for Virtual Screening.

Physics-based docking methods have long been the cornerstone of structure-based virtual screening (V...

Fetal origins of adult disease: transforming prenatal care by integrating Barker's Hypothesis with AI-driven 4D ultrasound.

INTRODUCTION: The fetal origins of adult disease, widely known as Barker's Hypothesis, suggest that ...

Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning.

Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who...

[Integrated diagnosis and treatment of peritoneal metastasis in gastric cancer].

The high incidence and mortality rates of gastric cancer pose a significant burden on human health a...

First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, li...

[Artificial intelligence-based automated assessment of coronary flow reserve from angiography and the impact of different vasodilators].

To explore the feasibility of a coronary angiography-based method developed with artificial intelli...

Screening of oral potentially malignant disorders and oral cancer using deep learning models.

Oral cancer though preventable, shows high mortality and affect the overall quality of life when det...

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