Publications

Authors:

Negrini, Davide; Pighi, Laura; Tosi, Marco; Lippi, Giuseppe

Title:

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

Year:

2025

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Inglese

Format:

Elettronico

Referee:

Sì

Name of journal:

Clinical Chemistry and Laboratory Medicine

ISSN of journal:

1434-6621

N° Volume:

63

Number or Folder:

6

:

Walter De Gruyter

Page numbers:

e143-e145

Keyword:

artificial intelligence, blood cells, hematology, laboratory medicine

Short description of contents:

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.

Web page:

https://www.degruyter.com/document/doi/10.1515/cclm-2024-1469/html

Product ID:

143713

Handle IRIS:

11562/1149367

Last Modified:

April 30, 2025

Bibliographic citation:

Negrini, Davide; Pighi, Laura; Tosi, Marco; Lippi, Giuseppe, Evaluating the accuracy of ChatGPT in classifying normal and abnormal blood cell morphology «Clinical Chemistry and Laboratory Medicine » , vol. 63 , n. 6 , 2025 , pp. e143-e145

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