Abstract Background Large Language Models (LLMs) are increasingly significant in food
science, transforming areas such as recipe development, nutritional analysis, food safety …

Background Taxonomies are needed for automated analysis of clinical data in healthcare.
Few reviews of the taxonomy development methods used in health sciences are found. This …

Background Artificial intelligence (AI), more specifically large language models (LLMs),
holds significant potential in revolutionizing emergency care delivery by optimizing clinical …

The simulation and optimization time of traditional secondary loop thermal parameters is
relatively long, and the computational cost is generally high. To solve this problem, we …

Background: Every year, approximately 200,000 patients will experience in-hospital cardiac
arrest (IHCA) in the United States. Survival has been shown to be greatest with the prompt …

Objective Artificial intelligence (AI) has emerged as a potentially transformative force,
particularly in the realm of emergency medicine (EM). The implementation of AI in …

Artificial intelligence (AI) and machine learning (ML) have potential to revolutionize
emergency medical care by enhancing triage systems, improving diagnostic accuracy …

Breast cancer poses a significant global health challenge, demanding enhanced diagnostic
accuracy and streamlined medical history documentation. This study presents a holistic …

automating decision-making on a wide range of aspects are affecting humanity. There is
great promise in machine learning (ML) and artificial intelligence (AI) algorithms for assisting …

Struggles with medical errors and harm have been widely associated with unsafe
medication practices, particularly in unsafe care. While this topic has been widely studied …