The aim of this study is to examine the risks associated with the use of artificial intelligence
(AI) in medicine and to offer policy suggestions to reduce these risks and optimize the …

Aims To explore international undergraduate pharmacy students' views on integrating
artificial intelligence (AI) into pharmacy education and practice. Methods This cross …

Artificial intelligence (AI) is now present in nearly every aspect of our daily lives.
Furthermore, while this AI augmentation is generally beneficial, or at worst, nonproblematic …

In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has
become pervasive across a spectrum of real-world applications, often in safety-critical …

Importance With the growing use of large language models (LLMs) in education and health
care settings, it is important to ensure that the information they generate is diverse and …

It has been a year since the launch of Chat Generator Pre-Trained Transformer (ChatGPT), a
generative artificial intelligence (AI) program. The introduction of this cross-generational …

Artificial intelligence (AI) is gradually being incorporated into various aspects of healthcare,
including pre-diagnosis, diagnosis, patient care, and patient follow-up. Microbiology is one …

This perspective paper provides a comprehensive examination of artificial intelligence (AI) in
healthcare, focusing on its transformative impact on clinical practices, decision-making, and …

Artificial Intelligence (AI) is increasingly pervasive, significantly altering social structures,
cultural dynamics, and labor markets. The rapid growth of this ecosystem has sparked …

Objective Health inequities can be influenced by demographic factors such as race and
ethnicity, proficiency in English, and biological sex. Disparities may manifest as differential …