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.
