Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs

Autor:	Zhou, Yiliang, Ong, Hanley, Kennedy, Patrick, Wu, Carol, Kazam, Jacob, Hentel, Keith, Flanders, Adam, Shih, George, Peng, Yifan
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	The study examines the application of GPT-4V, a multi-modal large language model equipped with visual recognition, in detecting radiological findings from a set of 100 chest radiographs and suggests that GPT-4V is currently not ready for real-world diagnostic usage in interpreting chest radiographs.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2403.15528 Zobrazit plný text záznamu View this record from Arxiv