Latest AI and machine learning research in health policy for healthcare professionals.
The German healthcare system is facing challenges in diagnosing coronary artery disease (CAD). These include high mortality rates, even when advanced medical technology is used, and an excessive number of coronary angiographies. A key issue is that current guideline models inaccurately estimate pretest probability (PTP). However, accurately determining PTP is crucial for efficiently guiding the di...
BACKGROUND: Despite KDIGO (Kidney Disease: Improving Global Outcomes) recommendations for renin-angiotensin-aldosterone system inhibitors (RAASi's) and sodium-glucose cotransporter-2 inhibitors (SGLT2i's) as first-line medications in chronic kidney disease and Type 2 diabetes mellitus patients, implementation gaps persist. We aimed to identify the reasons behind these gaps and develop strategies t...
INTRODUCTION: Standard spine surgery machine learning (ML) models often rely on structured clinical data, overlooking nuanced free text, such as preop...
One of the most ubiquitous and profound impacts to the delivery of healthcare over the last three decades has been the introduction of digital technol...
OBJECTIVE: To determine the effectiveness and cost-effectiveness of multi-gene panel sequencing compared to single-gene KRAS testing for metastatic co...
OBJECTIVE: To evaluate the potential of an artificial intelligence (AI)-driven large language model, ChatGPT 4.0, to provide personalized, evidence-ba...
INTRODUCTION: Drug-induced Torsades de Pointes (TdP) has led to withdrawal of several drugs from the market. Individuals with inherited cardiac channe...
Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biological, social, and economic factors. Despite widespr...
➢ Strategic action following the measurement of outcomes in the context of cost allows for the reallocation of resources to value-adding interventions...
DNA is a promising medium for digital data storage due to its exceptional data density and longevity. Practical DNA-based storage systems require sele...
The alarming rise in assaults against healthcare professionals is a public health and occupational issue that threatens staff well-being and care qual...
BACKGROUND: Abortion access in the United States has been in a state of rapid change and increasing restriction since the Dobbs v Jackson Women's Heal...
Access to reliable electricity is essential for delivering quality healthcare. However, off-grid health facilities in rural regions like Kalangala, Ug...
Biomedical image classification is of paramount importance in enhancing diagnostic precision and improving patient outcomes across diverse medical dis...
Urban food landscapes significantly influence dietary habits and health outcomes, with disparities in food access contributing to obesity, particularl...
The significant expansion of deep learning applications has necessitated safeguarding the deep neural network (DNN) model from potential unauthorized ...
Due to the complex construction conditions, long work cycles, and high uncertainty inherent in agricultural water conservancy projects, accurate const...
Cranioplasty restores skull integrity after decompressive craniectomy, but high costs limit access in low-resource settings. This case highlights an a...
INTRODUCTION: Suction devices such as flexible and navigable suction ureteral access sheath (FANS) are promising tools to reach the zero-fragment rate...
Traditional health surveillance methods play a critical role in public health safety but are limited by the data collection speed, coverage, and resou...