Although ChatGPT-4.0 shows potential in supporting blood cell classification activities, its performance remains inadequate for adoption as a standalone diagnostic tool or as replacement for the current generation of hematological digital imaging software.

Evaluating the accuracy of ChatGPT in classifying normal and abnormal blood cell morphology

Negrini, Davide;Pighi, Laura;Tosi, Marco;Lippi, Giuseppe
2025-01-01

Abstract

Although ChatGPT-4.0 shows potential in supporting blood cell classification activities, its performance remains inadequate for adoption as a standalone diagnostic tool or as replacement for the current generation of hematological digital imaging software.
2025
no
Inglese
ELETTRONICO
Esperti anonimi
63
6
e143
e145
3
artificial intelligence, blood cells, hematology, laboratory medicine
https://www.degruyter.com/document/doi/10.1515/cclm-2024-1469/html
none
info:eu-repo/semantics/article
Negrini, Davide; Pighi, Laura; Tosi, Marco; Lippi, Giuseppe
4
01 Contributo in rivista::01.01 Articolo in Rivista
262
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1149367
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