This paper critically examines ChatGPT’s role as a “second reader” in radiological image interpretation, addressing its ethical challenges and regulatory implications.
This paper proposes a ChatGPT-driven multimodal framework to enhance radiological image interpretation, bridging image features with clinically coherent textual reporting.
This study explores how prompt engineering, when embedded in educational contexts, can foster undergraduate students’ academic competence in literature review writing.
This study examines how structured prompt frameworks shape ChatGPT’s capacity to generate coherent and academically rigorous literature reviews in undergraduate contexts.
