Evaluating Artificial Intelligence's Role in Teaching the Reporting and Interpretation of Computed Tomographic Angiography for Preoperative Planning of the Deep Inferior Epigastric Artery Perforator Flap

Background: Artificial intelligence (AI) has the potential to transform preoperative planning for breast reconstruction by enhancing the efficiency, accuracy, and reliability of radiology reporting through automatic interpretation and perforator identification. Large language models (LLMs) have rece...

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Päätekijät:	Bryan Lim, Jevan Cevik, Ishith Seth, Foti Sofiadellis, Richard J. Ross, Warren M. Rozen, Roberto Cuomo
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2024-06-01
Sarja:	JPRAS Open
Aiheet:	CT Angiogram CTA Large Language Models ChatGPT BARD Bing
Linkit:	http://www.sciencedirect.com/science/article/pii/S2352587824000433
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