Background Diagnostic performance of generative artificial intelligences (AIs) using large
language models (LLMs) across comprehensive medical specialties is still unknown …

Background Artificial intelligence chatbots have demonstrated potential to enhance clinical
decision-making and streamline health care workflows, potentially alleviating administrative …

Evaluating Microsoft Bing with ChatGPT-4 for the assessment of abdominal computed
tomography and magnetic resonance images Page 1 ARTIFICIAL INTELLIGENCE AND …

Generative artificial intelligence, including large language models (LLMs), holds immense
potential to enhance healthcare, medical education, and health research. Recognizing the …

Background The integration of large language models (LLMs) into medical education has
received increasing attention as a potential tool to enhance learning experiences. However …

Background Artificial intelligence (AI) has shown great promise in assisting medical
diagnosis, but its application in renal pathology remains limited. Objective We evaluated the …

Background Radiology is critical for diagnosis and patient care, relying heavily on accurate
image interpretation. Recent advancements in artificial intelligence (AI) and natural …

Background The rapid advancements in natural language processing have brought about
the widespread use of large language models (LLMs) across various medical domains …

Purpose To evaluate the impact of a structured tutorial on the use of a large language model
(LLM)-based search engine on radiology residents' performance in LLM-assisted brain MRI …

Background Prior studies have shown the potential of large language models (LLMs) to
support in differential diagnosis in radiology. However, the interaction of human users with …