Preventive Care

Early Lung Cancer Patient Journey in Singapore: Challenges and Recommendations.

Early detection of lung cancer is crucial for improving survival rates because it allows for potenti...

Validation of artificial intelligence algorithm LuxIA for screening of diabetic retinopathy from a single 45° retinal colour fundus images: the CARDS study.

OBJECTIVE: This study validated the artificial intelligence (AI)-based algorithm LuxIA for screening...

Satellite Remote Sensing-Implemented Nontargeted Screening of Emerging Contaminant Fingerprints in a River-to-Ocean Continuum through Interpretable Machine Learning: The Pivotal Intermediary Role of Dissolved Organic Matter.

Emerging contaminants (ECs) can exert irreversible health impacts on humans, even at trace concentra...

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review.

BACKGROUND: Dysphagia affects more than half of older adults with dementia and is associated with a ...

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy.

Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...

Deep Eutectic Solvent Extraction Assisted Ligand Affinity Assay for α-Glucosidase Inhibitors Screening From the Plasma of Rats Administrated Pueraria lobata Extracts.

In this work, for the first time, a deep eutectic solvent assisted ligand affinity assay was propose...

Artificial Intelligence in Screening Mammography: How Do Patients Feel?

Implementing artificial intelligence in breast cancer screening: Women's preferences.

BACKGROUND: Artificial intelligence (AI) could improve accuracy and efficiency of breast cancer scre...

Patient Perception of Artificial Intelligence Use in Interpretation of Screening Mammograms: A Survey Study.

Purpose To assess patient perceptions of artificial intelligence (AI) use in the interpretation of s...

Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population.

Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algor...

High-performance automated abstract screening with large language model ensembles.

OBJECTIVE: screening is a labor-intensive component of systematic review involving repetitive applic...

External Testing of a Commercial AI Algorithm for Breast Cancer Detection at Screening Mammography.

Purpose To test a commercial artificial intelligence (AI) system for breast cancer detection at the ...

Performance of Two Deep Learning-based AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway.

Purpose To evaluate cancer detection and marker placement accuracy of two artificial intelligence (A...

A novel machine learning model for screening the risk of obstructive sleep apnea using craniofacial photography with questionnaires.

STUDY OBJECTIVES: Undiagnosed or untreated moderate-to-severe obstructive sleep apnea (OSA) increase...

Incorporating computer vision on smart phone photographs into screening for inflammatory arthritis: results from an Indian patient cohort.

OBJECTIVES: Convolutional neural networks (CNNs) are increasingly used to classify medical images, b...

Bioactivity predictions and virtual screening using machine learning predictive model.

Recently, there has been significant attention on machine learning algorithms for predictive modelin...

Discovery of hematopoietic progenitor kinase 1 inhibitors using machine learning-based screening and free energy perturbation.

Hematopoietic progenitor kinase 1 (HPK1) is a key negative regulator of T-cell receptor (TCR) signal...

[Role of Artificial Intelligence in Improving Quality of Colonoscopy].

Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...

Validation of machine learning-assisted screening of PKC ligands: PKC binding affinity and activation.

Protein kinase C (PKC) is a family of serine/threonine kinases, and PKC ligands have the potential t...

[Current applications and challenges of artificial intelligence in diabetes management].

In recent years, the rapid development of artificial intelligence (AI) has brought innovative opport...

AI-Driven Care Navigation to Foster Early Childhood Resilience and Positive Childhood Experiences.

Early life experiences are crucial for health and well-being, influencing physical, emotional, and s...