Latest AI and machine learning research in health policy for healthcare professionals.
The development of machine learning (ML) methods has made quantum chemistry (QC) calculations more a...
Traditional drug discovery and development are time-consuming and expensive. Deep learning-based mol...
The critical period for visual function and ocular structure development occurs from 0 to 6 years of...
Chest radiography requires effective quality control (QC) to reduce high retake rates. However, exis...
ABSTRACT: People in low- and middle-income countries face many obstacles when trying to access ferti...
Land degradation poses a significant threat to ecosystems and livelihoods, particularly in disaster-...
OBJECTIVE: Mechanical complications are a vexing occurrence after adult spinal deformity (ASD) surge...
This study addresses a critical research gap in water quality monitoring, specifically within the Ca...
Generative AI is poised to revolutionize how humans work, and has already demonstrated promise in si...
Assessing multi-hazard susceptibility and understanding community insights are important for effecti...
This narrative review explores the transformative role of artificial intelligence (AI) in forensic m...
Improving energy efficiency is a pivotal strategy for achieving energy conservation, emission reduct...
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abn...
Understanding long-term trends and analyzing their driving factors are essential to effectively enha...
Poor sleep quality has been found to be associated with functional abnormalities in a few regions of...
Quality control (QC) of structures segmentation in volumetric medical images is important for identi...
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host r...
Clinical data warehouses, which have arisen over the last decade, bring together the medical data of...
Healthcare-associated infections (HAIs) are a global public health concern, imposing significant cli...
Most conventional crash severity models attempt to achieve a low classification error rate, implicit...
OBJECTIVE: Pediatric otorhinolaryngology (ORL) addresses complex conditions in children, requiring a...