Preventive Care

Beyond prediction: explainable machine learning for ferritin estimation from complete blood count.

BACKGROUND: Serum ferritin is a primary marker of body iron stores; however, its diagnostic utility is limited by cost and non-specific elevation during inflammatory states. This study aimed to develop and validate explainable machine learning (ML) models to estimate ferritin status using only widely available and cost-effective complete blood count (CBC) and demographic parameters. METHODS: This ...

Toward equitable digital health: an integrated framework addressing exclusion, ethics, and implementation across healthcare systems.

BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations offer unprecedented opportunities to extend services, particularly in resource-constrained settings, early implementation experiences from large-scale platforms such as India's Co-WIN vaccination system and the Ayushman Bharat Digital Mission (ABDM) rev...

Improving healthcare professionals' usage of artificial intelligence-powered risk recommenders through enhancement of trust and acceptance: a rapid realist review protocol.

INTRODUCTION: Healthcare professionals working in busy hospital environments are expected to make multiple back-to-back critical decisions related to ...

Machine learning-based prediction of hepatocellular carcinoma risk in steatotic liver disease: A nationwide cohort study.

BACKGROUND AND AIMS: Steatotic liver disease (SLD) has emerged as an important risk factor for hepatocellular carcinoma (HCC), often in the absence of...

Third-party governance and artificial intelligence for diabetes management in primary health care, China.

PROBLEM: Fragmented primary health care in China fails to tackle the growing burden of noncommunicable diseases. Despite substantial investment, fewer...

Machine-learning-model based tool for screening bone metastases from lung cancer patients in primary care practice.

PURPOSE: This study aimed to use the machine-learning methods to predict bone metastasis (BM) in patients with lung cancer. METHODS: This study includ...

Targeted screening for heart failure in primary care: evidence, challenges and a pathway-first approach to implementation.

INTRODUCTION: Heart failure remains a leading cause of morbidity and mortality, yet diagnosis continues to occur late in routine practice, frequently ...

AI as a Safety-Net Reader for Mammograms Classified as Normal or Benign in the French Screening Program.

In the French national breast cancer screening program, second reading is performed only for mammograms interpreted as negative (BI-RADS 1-2) at first...

Rerouting Eye Care: How AI and Telemedicine Are Reshaping Ophthalmology Patient Journeys in the United Kingdom and Germany.

Artificial intelligence (AI) as a medical device is now progressively entering routine ophthalmic care, yet its impact is still mostly evaluated in te...

Descriptor-guided thermodynamic screening of [Formula: see text] adsorption on single-atom-doped anatase [Formula: see text] nanoparticles with interpretable machine learning.

Understanding how surface dopants tune [Formula: see text] adsorption on oxide nanoparticles is important for the design of reversible hydrogen-storag...

MMTC-Net: Multimodal Temporal Cervical Network for HSIL+ Recognition in Precancer Screening.

Cervical precancer screening is essential for reducing disease-related mortality. In colposcopic practice, clinicians jointly assess dynamic acetic-ac...

Advancing poultry health: A meta-analysis of epitope-based and peptide-based vaccines against Avian Pathogenic E. coli with machine learning insights.

INTRODUCTION: Avian Pathogenic Escherichia coli (APEC) causes colibacillosis in poultry, which leads to tremendous economic losses. Traditional contro...

Artificial intelligence in population-based cancer screening: evidence from a national survey of Italian professionals.

BACKGROUND: Artificial Intelligence (AI) is increasingly proposed to enhance population-based cancer screening. While several applications are under e...

Machine learning-driven high-throughput screening of electrocatalysts and electrolytes for electrochemical surfaces and interfaces.

Machine learning (ML) establishes a new paradigm for electrocatalyst and electrolyte research by coupling high-throughput screening (HTS) with a data-...

A Multistage Virtual Screening Strategy Integrating Molecular Similarity, Deep Learning Scoring, and Molecular Docking toward the Discovery of Novel LRRK2 Inhibitors.

Leucine-rich repeat kinase 2 (LRRK2) has emerged as an attractive molecular target for Parkinson's disease therapeutics. To discover novel and potent ...

Beyond the Coronaries: Utility of Extra-Coronary Calcification for Cardiovascular Risk Assessment in Women.

PURPOSE OF REVIEW: Globally, cardiovascular disease (CVD) is the leading cause of mortality in women. Traditional risk calculators underestimate ather...

Diagnostic Performance of General Practitioners in Carotid Plaque Detection Using AI-Enhanced Point-of-Care Ultrasound After Systematic Training.

PURPOSE: While point-of-care ultrasound (POCUS) has been integrated into daily practice by general practitioners (GPs) in some countries, there is a p...

ColoXAI-RecomNet: Explainable Recommender Framework for Colorectal Cancer Classification Using Integrated CNN Ensemble and LIME Interpretability.

The classification of colorectal disease based on colonoscopy images requires not only high predictive accuracy but also interpretable decision suppor...

A visual analysis of the research dynamics of biomarkers for lung cancer screening.

BACKGROUND: Non-invasive biomarkers offer potential to improve risk stratification and early diagnosis of lung cancer, complementing low-dose computed...

Two-Step Ensemble Convolutional Neural Networks for Colonoscopic Biopsy Classification Resembling Pathologists' Process.

BACKGROUND: Colorectal cancer (CRC) is a leading cause of mortality worldwide, and early examination via colonoscopy is increasingly used to prevent C...