Pubblicazioni

Autori:

Pighi, Laura; Negrini, Davide; Lippi, Giuseppe

Titolo:

Generative artificial intelligence (AI) for reporting the performance of laboratory biomarkers: not ready for prime time

Anno:

2025

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Formato:

Elettronico

Referee:

Sì

Nome rivista:

Clinical Chemistry and Laboratory Medicine

ISSN Rivista:

1434-6621

N° Volume:

63

Numero o Fascicolo:

2

Editore:

Walter De Gruyter

Intervallo pagine:

e33-e35

Parole chiave:

Artificial intelligence, performance, laboratory biomarkers

Breve descrizione dei contenuti:

Artificial intelligence (AI), especially generative AI, has become a valuable resource in daily life and in many professions, including healthcare and laboratory medicine. On July 26, 2024 we queried the latest version of five of the most common and freely available generative AI online software tools (Chat-GPT; Perplexity; Google Gemini; Cohere; and You.com) with three specific questions, namely “Which are the diagnostic sensitivity and specificity of cardiac troponins for diagnosing myocardial infarction?”; “Which are the diagnostic sensitivity and specificity of D-dimer for diagnosing pulmonary embolism?”; and “Which are the diagnostic sensitivity and specificity of procalcitonin for diagnosing sepsis?”. We specifically asked the software to provide numerical data on diagnostic sensitivity and specificity of the three biomarkers. Although we found a partial overlap in the diagnostic performance of all biomarkers, a large heterogeneity was observed in the responses to the specific questions posed to the five generative AI tools, making the use of generative AI still questionable for laboratory experts, clinicians and even patients seeking information on accuracy of laboratory tests.

Pagina Web:

https://www.degruyter.com/document/doi/10.1515/cclm-2024-0857/html

Id prodotto:

140682

Handle IRIS:

11562/1132606

ultima modifica:

12 gennaio 2025

Citazione bibliografica:

Pighi, Laura; Negrini, Davide; Lippi, Giuseppe, Generative artificial intelligence (AI) for reporting the performance of laboratory biomarkers: not ready for prime time «Clinical Chemistry and Laboratory Medicine » , vol. 63 , n. 2 , 2025 , pp. e33-e35

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