Objectives This study aimed to explain and categorize key ethical concerns about
integrating large language models (LLMs) in healthcare, drawing particularly from the …

Artificial Intelligence (AI) is revolutionizing various fields, including public health
surveillance. In Africa, where health systems frequently encounter challenges such as …

This study aimed to evaluate the potential of Large Language Models (LLMs) in healthcare
diagnostics, specifically their ability to analyze symptom-based prompts and provide …

Large language models are emerging very rapidly in applications covering nearly all fields
including healthcare. In healthcare, these are commonly used for image to text, information …

Purpose Caregivers in pediatric oncology need accurate and understandable information
about their child's condition, treatment, and side effects. This study assesses the …

The progress in large language models (LLMs) brings much excitement and efforts in
medical artificial intelligence, which could transform patient-doctor conversation while …

With the popularization of large language models (LLMs), strategies for their effective and
safe usage in health care and research have become increasingly pertinent. Despite the …

Large Language Models (LLMs) are widely used in healthcare, but limitations like
hallucinations, incomplete information, and bias hinder their reliability. To address these …

Large Language Models (LLMs) are increasingly utilized for domain-specific tasks, yet
integrating domain expertise into evaluating their outputs remains challenging. A common …

Generative artificial intelligence (AI) may revolutionize health care, providing solutions that
range from enhancing diagnostic accuracy to personalizing treatment plans. However, its …