Primary Care

Preventive Care

Latest AI and machine learning research in preventive care for healthcare professionals.

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Combating Antiviral Drug Resistance: A Multipronged Strategy.

ConspectusViral proteases are essential enzymes required for viral replication and assembly, making them prime antiviral drug targets. However, under the selective pressure of protease inhibitors, viruses can acquire mutations that reduce drug binding efficacy, posing significant challenges in both chronic infections (e.g., HIV, HCV) and acute infections like COVID-19, where mutations in the SARS-...

Feb 6 2026 41650319

Real-world performance of an AI system for diabetic retinopathy screening.

Diabetic retinopathy (DR) is a leading cause of preventable blindness, and the growing global burden of diabetes is placing increasing pressure on ophthalmic services. Artificial intelligence (AI)-based retinal image analysis offers a promising strategy to scale up DR screening while reducing reliance on specialist graders. We assessed the performance of an AI-based DR screening system implemented...

Feb 6 2026 41651934
Emerging trends in the early diagnosis of dental caries: a scoping review of artificial intelligence, digital diagnostics, and teledentistry.

BACKGROUND: Dental caries is the most prevalent chronic, noncommunicable condition affecting individuals of all ages and socio-economic status. The re...

Feb 6 2026 41652112
Artificial-intelligence-enabled digital stethoscope improves point-of-care screening for moderate-to-severe valvular heart disease.

AIMS: Valvular heart disease (VHD) can affect more than one in two adults over 65 yet remains underdiagnosed due to the limitations of traditional aus...

Feb 5 2026 41660663
Salivary extracellular vesicles and Raman spectroscopy in precision diagnostics of type 2 diabetes.

Type 2 Diabetes (T2D) remains a major global health issue, driven by sedentary lifestyles and aging populations, emphasizing the urgent need for preci...

Feb 5 2026 41654296
A Multimodal Model for Caries Screening Using Intraoral Images and Questionnaires.

INTRODUCTION AND AIMS: To develop a multimodal deep learning model for dental caries screening in children by integrating intraoral photographs and qu...

Feb 5 2026 41650828
AI software as a third reader in breast cancer screening-a prospective diagnostic observational study.

OBJECTIVE: Despite advances in mammography screening, some cancers remain undetected, prompting the evaluation of artificial intelligence (AI) as an i...

Feb 5 2026 41642301
Conscience, Care, and Code: Moral Theology, AI, and Ethical Decision-Making at the Thresholds of Life.

Healthcare decisions at the beginning and end of life pose enduring moral challenges that are increasingly intensified by the integration of artificia...

Feb 5 2026 41642548
Controversies in Computer-Assisted Detection in Colonoscopy.

BACKGROUND: Artificial intelligence (AI) applications in endoscopy, particularly computer-aided detection (CADe), have shown consistent benefit in ran...

Feb 5 2026 41642745
Factors and determinants of primary care to tertiary care referrals in Singapore: A multi-centre analysis using artificial intelligence-powered large language models.

BACKGROUND: As Singapore adopts a population health approach under Healthier Singapore (Healthier SG), optimizing healthcare resources is crucial. We ...

Feb 5 2026 41642866
Impacts of delayed influenza vaccination on clinical outcomes in ICU-admitted patients with influenza: A retrospective cohort study.

BACKGROUND: Influenza vaccination is an effective measure for reducing the risk of severe influenza infection. However, the task of achieving adequate...

Feb 4 2026 41643751
Interpretable machine learning for personalized breast cancer screening recommendations.

Breast cancer is the most common non-skin cancer and the second leading cause of cancer death in U.S. women. Early detection and timely intervention a...

Feb 4 2026 41636932
Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population.

BACKGROUND: Computer aided detection (CADe) colonoscopy has been shown in randomized controlled trials to improve detection of adenomatous colorectal ...

Feb 4 2026 41637205
Patients' Attitudes and Beliefs Toward Artificial Intelligence Use in Cancer Care: Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) is being rapidly integrated into oncologic care, yet little is known about how patients perceive these applic...

Feb 4 2026 41637748
Accelerating Siloxane-Based Ionizable Lipid Design for LNPs with Data-Efficient Kolmogorov-Arnold Networks.

Ionizable lipids are fundamental to the efficacy of lipid nanoparticles (LNPs) in pivotal areas including mRNA vaccines. Their development, however, i...

Feb 4 2026 41638226
Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy.

BACKGROUND: Hepatitis B (HBV) is a chronic viral infection that can lead to cirrhosis, liver failure, and liver cancer, and has a profound impact on t...

Feb 4 2026 41637463
Predictive value of tear lipidomics biomarkers for TAO activity and relationship with clinical characteristics.

The objective of this study was to explore the lipid metabolic changes in the active thyroid-associated ophthalmopathy (TAO) through tear lipidomics a...

Feb 3 2026 41643837
Validation and longitudinal trajectory analysis of an AI-based ECG model for aortic stenosis: from community screening to pre-TAVR risk stratification.

AIMS: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversib...

Feb 3 2026 41716932
Machine learning-based prediction of CAC-defined cardiovascular risk using routine health examination data: a retrospective cross-sectional study in a Taiwanese population.

BACKGROUND: Early identification of individuals at elevated cardiovascular risk using routine health examination data is essential for preventive card...

Feb 3 2026 41638960
Association and Agreement of Contact-Based Smartphone Photoplethysmography Compared With Electrocardiography: Protocol for a Systematic Review and Meta-Analysis.

BACKGROUND: Mobile health (mHealth), leveraging mobile devices for health measurement and promotion, is rapidly growing. Smartphone cameras can perfor...

Feb 3 2026 41632977
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