Health Policy

Supervised machine learning model to predict total knee replacement in a large osteoartrhitis real-world evidence dataset using retrospectively 20-year insurance data from Israel.

'Bad manners'-refocusing on 'bedside manner' as a core professional behaviour for doctors.

Healthcare systems globally face unprecedented pressures, with increasing patient volumes and resource constraints affecting care delivery. While systemic factors contribute to patient dissatisfaction, individual healthcare professional behaviours significantly impact patient experience regardless of system constraints. Despite communication skills being fundamental to medical training, evidence s...

Concordant and Fluid-Specific Glycosylation Alterations in Serum and Saliva Enable Non-Invasive Diagnosis of Colorectal Cancer.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, highlighting the need for accurate, noninvasive biomarkers. This study in...

Mirror Descent Safe Policy Optimization for Reinforcement Learning Agents.

Embodied intelligence and related disciplines have identified several mechanisms that help embodied agents learn how to solve complex problems. Reinfo...

Integrating Large Language Models Into Trauma Education for Medical Students: Randomized Controlled Pilot Trial.

BACKGROUND: The exponential growth of medical knowledge presents a paradox for modern medical education. While access to information is immediate, app...

Addressing free rider issues in academic authorship in medical education.

AIM: Authorship is a key marker for academic achievement, yet its integrity is increasingly compromised by "free riding," whereby individuals are list...

Artificial intelligence in surgical care within low-income and middle-income countries: a scoping review of development, validation, and deployment.

Artificial intelligence (AI) has the potential to expand access to high-quality surgical care in low-income and middle-income countries (LMICs), yet t...

Prediction and assessment of water quality index for surface water using 1D CNN and SVR models.

Water quality monitoring is essential for managing and protecting surface water resources. Traditionally, assessing water quality relied on time-consu...

Establishing the laboratory error database: rationale, methodology, and a practical example.

Laboratory errors represent a critical yet underestimated threat to patient safety, with 26-30 % of reported errors adversely affecting patient care. ...

Machine Learning Prediction of Progression to Dialysis in Patients With Polycystic Kidney Disease: Population-Based Retrospective Cohort Study.

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD), characterized by progressive cyst growth and renal decline, is the leading genetic c...

Using AI to enhance healthcare resource management and allocation: A focus on the autism community in Alabama.

This study investigates the potential of artificial intelligence, particularly Natural Language Processing and large-scale language models, to improve...

Development of death-risk score based on epidemiology of six mental disorders and application to mortality reduction via modifiable health behaviors.

OBJECTIVE: Prediction models for mortality rarely incorporate diverse psychiatric conditions, alongside clinical, behavioral, and demographic risk fac...

An artificial intelligence approach to support adolescent suicide prevention initiatives in the United States.

Adolescent suicide remains a critical public health issue in the United States, with complex, interrelated risk and protective factors operating acros...

Immunoproteomic insights into inflammatory diseases of the critically endangered black rhinoceros (Diceros bicornis).

Black rhinoceros are critically endangered due to poaching in the wild (in situ). Globally, fewer than 200 animals are maintained as an ex situ insura...

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant opportunities for enhancing patient care through a...

Prostate MRI quality improvement: a Roadmap from the ESUR Prostate MRI Working Group.

Prostate magnetic resonance imaging (MRI) has become a crucial tool in diagnosing and managing prostate cancer, mainly by helping to avoid unnecessary...

[Care for uncontrolled asthma in Germany - with focus on Magdeburg and Mannheim regions].

Description of treatment and prescription patterns among asthma patients in the regions of Magdeburg (MD) and Mannheim (MA) compared nationwide.We ana...

Cost-Effectiveness of AI-Assisted Detection of Apical Periodontitis on Panoramic Radiographs.

BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, yet its economic impact in dentistry remains largely unexplored. AIM: This s...

Novel cooking techniques and their impact on livestock meat quality: A comprehensive review of processing, eating, nutritional, and safety quality.

Traditional meat cooking methods, such as boiling, frying, and grilling, often lead to nutrient loss, reduced flavor, and microbiological safety risks...

AI-powered Chatbot integration for enhanced accessibility of electronic health records in a pediatric hospital.

Navigating electronic health records (EHRs) remains a time-consuming task for clinicians, especially in resource-constrained healthcare settings. This...