Assessing the accuracy and clinical utility of GPT-4O in abnormal blood cell morphology recognition

Autor:	Xinjian Cai, Lili Zhan, Yiteng Lin
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Computer applications to medicine. Medical informatics R858-859.7
Zdroj:	Digital Health, Vol 10 (2024)
Druh dokumentu:	article
ISSN:	2055-2076 20552076
DOI:	10.1177/20552076241298503
Popis:	Objectives To evaluate the accuracy and clinical utility of GPT-4O in recognizing abnormal blood cell morphology, a critical component of hematologic diagnostics. Methods GPT-4O's blood cell morphology recognition capabilities were assessed by comparing its performance with hematologists. A total of 70 images from the Chinese National Center for Clinical Laboratories, External Quality Assessment (EQA) from 2022 to 2024 were analyzed. Two experienced hematology experts evaluated GPT-4O's recognition accuracy using a Likert scale. Results GPT-4O achieved an overall accuracy of 70% in blood cell morphology recognition, significantly lower than the 95.42% accuracy of hematologists (p
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d9ffca768caf460cb86d6ae8e4407e6b Zobrazit plný text záznamu View record in DOAJ