Primary Care

Predictive machine learning model for 30-day hospital readmissions in a tertiary healthcare setting.

MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their im...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

Ovarian Cancer Screening: Recommendations and Future Prospects.

Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in ea...

[Automated diabetic retinopathy screening in out-patient diabetes care - comparison of two artificial intelligence algorithms RetCAD and OphtAI].

Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.

BACKGROUND: This study investigated the cost-effectiveness and clinical impact of the 3E model (educ...

Personalized cardiometabolic care powered by artificial intelligence.

Advancements in artificial intelligence (AI) are providing a wealth of opportunities for improving c...

Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening.

In the drug discovery process, traditional structure-based virtual screening methods, such as molecu...

Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....

Transcriptome combined with Mendelian randomization to identify key genes related to polyamine metabolism in childhood obesity and elucidate their molecular regulatory mechanisms.

Currently, research has found a close correlation between childhood obesity (CO) and elevated levels...

The knowledge distillation-assisted multimodal model for osteoporosis screening.

BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bo...

Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.

Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, ...

Meta-analysis of shotgun sequencing of gut microbiota in obese children with MASLD or MASH.

Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-assoc...

Machine learning algorithms to predict the risk of hyperlipidemia in people living with HIV after starting HAART for 6 months.

OBJECTIVE: The purpose of this study was to use machine learning models to predict the risk of hyper...

Discovery of novel potential 11β-HSD1 inhibitors through combining deep learning, molecular modeling, and bio-evaluation.

11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been shown to play an important role in the t...

Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study.

BACKGROUND: Fast Healthcare Interoperability Resources (FHIR) is a widely used standard for storing ...

Digital health technologies in swallowing care from screening to rehabilitation: A narrative review.

OBJECTIVES: Digital health technologies (DHTs) have rapidly advanced in the past two decades, throug...

Surface Electromyography Combined with Artificial Intelligence in Predicting Neuromuscular Falls in the Elderly: A Narrative Review of Present Applications and Future Perspectives.

: Falls among the elderly are a major public health concern, leading to increased disability and mor...

A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education.

BACKGROUND/OBJECTIVES: Artificial intelligence (AI)-enabled digital interventions are increasingly u...

Imaging patterns and recommendations for diagnosis, staging, and management of lung cancer.

Lung cancer is the second most commonly diagnosed cancer worldwide. In the present era of targeted t...

Diagnostic value of fully automated CT pulmonary angiography in patients with chronic thromboembolic pulmonary hypertension and chronic thromboembolic disease.

OBJECTIVES: To evaluate the value of employing artificial intelligence (AI)-assisted CT pulmonary an...