Background Artificial intelligence (AI) is evolving for healthcare services. Higher cognitive
thinking in AI refers to the ability of the system to perform advanced cognitive processes …

Background Healthcare-related artificial intelligence (AI) is developing. The capacity of the
system to carry out sophisticated cognitive processes, such as problem-solving, decision …

Objective To evaluate the clinical applications and limitations of chat generative pretrained
transformer (ChatGPT) in otolaryngology. Study Design Cross‐sectional survey. Setting …

Abstract Large Language Models are forms of artificial intelligence that use deep learning
algorithms to decipher large amounts of text and exhibit strong capabilities like question …

Objectives: The use of artificial intelligence (AI) in clinical patient management and medical
education has been advancing over time. ChatGPT was developed and trained recently …

This study examines ChatGPT's role in clinical decision support, by analyzing its scope,
application, and limitations. By analyzing patient data and providing evidence-based …

The advent of artificial intelligence (AI), particularly large language models (LLMs) such as
ChatGPT 4.0, holds significant potential in healthcare, specifically in radiology. This study …

The rapid advancement of artificial intelligence (AI) technologies, particularly machine
learning, has brought substantial progress to the field of nephrology, enabling significant …

Scholars increasingly rely on new artificial intelligence models for convenience and simple
access to necessities due to the rapid evolution of scientific literature and technology. The …

This paper presents an analysis of the advantages, limitations, ethical considerations, future
prospects, and practical applications of ChatGPT and artificial intelligence (AI) in the …