Primary Care

Artificial Intelligence for Low-Dose CT Lung Cancer Screening: Comparison of Utilization Scenarios.

. Artificial intelligence (AI) tools for evaluating low-dose CT (LDCT) lung cancer screening examina...

Feasibility study of "double-low" scanning protocol combined with artificial intelligence iterative reconstruction algorithm for abdominal computed tomography enhancement in patients with obesity.

OBJECTIVE: To evaluate the efficacy of the "double-low" scanning protocol combined with the artifici...

Multidomain Behavioral Change Digital Coaching for Chronic Disease Management in Patients With Type 2 Diabetes: Framework Development and Preliminary Evaluation.

BACKGROUND: Unhealthy lifestyle behaviors have been identified as a major cause of numerous health i...

Advancing Tuberculosis Screening: The Clinical Potential of Artificial Intelligence-Generated Radiology Reports for Chest Radiographs.

Machine learning-based online web calculator predicts the risk of sarcopenic obesity in older adults.

BACKGROUND: Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having ob...

Cardiac amyloidosis detection from a single echocardiographic video clip: a novel artificial intelligence-based screening tool.

BACKGROUND AND AIMS: Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics rem...

Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients.

BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation...

A Pilot Feasibility Study Exploring the Preliminary Effectiveness of an AI-Driven Virtual Human Intervention for General Practitioner Obesity Education and Communication-Skills Training.

BACKGROUND: Rising global obesity rates demand effective weight management strategies from general p...

Event-Driven Taxonomy (EDT) Screening: Leveraging Effect-Based Spectral Libraries to Accelerate Semiquantitative Nontarget Analysis of AhR Agonists in Sediment in the Era of Big Data.

Sediments contain complex chemical mixtures. While effect-directed analysis (EDA) combined with nont...

Machine learning-based QSAR and structure-based virtual screening guided discovery of novel mIDH1 inhibitors from natural products.

Mutations in isocitrate dehydrogenase 1 (IDH1) have been widely observed in various tumors, such as ...

Structural health monitoring and evaluation method for an immersed tunnel based on deep learning.

The health monitoring of the subsea-immersed tunnels is essential for the early detection of anomali...

Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach.

Breast cancer is a prevalent disease affecting millions of women worldwide, and early screening can ...

Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.

Advanced metabolic-dysfunction-associated steatotic liver disease (MASLD) fibrosis (F3-4) predicts l...

Data-driven nutritional assessment of urban food landscapes: insights from Boston, London, and Dubai.

Urban food landscapes significantly influence dietary habits and health outcomes, with disparities i...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication...

High-throughput screening and DFT characterization of bimetallic alloy catalysts for the nitrogen reduction reaction.

The lack of active and selective catalysts hinders transition to the electrochemical nitrogen reduct...

Enhancing diabetes risk prediction through focal active learning and machine learning models.

To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based o...

Cellular senescence in renal ischemia-reperfusion injury.

Acute kidney injury (AKI) affects more than 20% of hospitalized patients and is a significant contri...

Combining the NanaPPI Toolbox and AI-Driven Virtual Inhibitor Screening for the p53-MDM2 Interaction.

High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital infor...

Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data.

IMPORTANCE: The prevalence of severe mental illnesses (SMIs) in the United States is approximately 3...

Artificial intelligence and digital twins for the personalised prediction of hypertension risk.

Hypertension is a significant global health challenge, contributing substantially to morbidity and m...