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Clinical Chemistry and Laboratory Medicine
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March 4, 2021
Machine learning and coagulation testing: the next big thing in hemostasis investigations?
Emmanuel J Favaloro, Davide Negrini
Diagnosis (Berlin, Germany)
|
April 27, 2020
Between Web search engines and artificial intelligence: what side is shown in laboratory tests?
Davide Negrini, Andrea Padoan, Mario Plebani
Advances in Laboratory Medicine
|
March 19, 2026
Evaluation of freely available artificial intelligence (AI) tools for diagnostic support in a complex clinical and laboratory presentations: a pilot study
Laura Pighi, Davide Negrini, Giuseppe Lippi
Clinical Chemistry and Laboratory Medicine
|
July 31, 2024
Generative artificial intelligence (AI) for reporting the performance of laboratory biomarkers: not ready for prime time
Laura Pighi, Davide Negrini, Giuseppe Lippi
Clinical Chemistry and Laboratory Medicine
|
January 9, 2025
Evaluating the accuracy of ChatGPT in classifying normal and abnormal blood cell morphology
Davide Negrini, Laura Pighi, Marco Tosi, et al.
International Journal of Laboratory Hematology
|
September 12, 2019
Interference of lipemia in samples for routine coagulation testing using a Sysmex CS-5100 coagulometer
Davide Negrini, Daniela Bernardi, Giorgia Antonelli, et al.
Scandinavian Journal of Clinical and Laboratory Investigation
|
April 21, 2025
Performance assessment of ChatGPT in classification of urine particles
Laura Pighi, Davide Negrini, Marco Tosi, et al.
Advances in Laboratory Medicine
|
December 23, 2024
Marco Tosi, Davide Negrini, Giovanni Celegon, et al.
Advances in Laboratory Medicine
|
December 23, 2024
Investigating the incremental value of urine sediment reporting in emergency medicine with a Sysmex UN urinalysis system
Marco Tosi, Davide Negrini, Giovanni Celegon, et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry
|
June 3, 2020
Diagnostic performances and thresholds: The key to harmonization in serological SARS-CoV-2 assays?
Mario Plebani, Andrea Padoan, Davide Negrini, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 26) with videos related to
Sort By:
Page
of 3
Clinical Chemistry and Laboratory Medicine
|
March 4, 2021
Machine learning and coagulation testing: the next big thing in hemostasis investigations?
Emmanuel J Favaloro, Davide Negrini
Diagnosis (Berlin, Germany)
|
April 27, 2020
Between Web search engines and artificial intelligence: what side is shown in laboratory tests?
Davide Negrini, Andrea Padoan, Mario Plebani
Advances in Laboratory Medicine
|
March 19, 2026
Evaluation of freely available artificial intelligence (AI) tools for diagnostic support in a complex clinical and laboratory presentations: a pilot study
Laura Pighi, Davide Negrini, Giuseppe Lippi
Clinical Chemistry and Laboratory Medicine
|
July 31, 2024
Generative artificial intelligence (AI) for reporting the performance of laboratory biomarkers: not ready for prime time
Laura Pighi, Davide Negrini, Giuseppe Lippi
Clinical Chemistry and Laboratory Medicine
|
January 9, 2025
Evaluating the accuracy of ChatGPT in classifying normal and abnormal blood cell morphology
Davide Negrini, Laura Pighi, Marco Tosi, et al.
International Journal of Laboratory Hematology
|
September 12, 2019
Interference of lipemia in samples for routine coagulation testing using a Sysmex CS-5100 coagulometer
Davide Negrini, Daniela Bernardi, Giorgia Antonelli, et al.
Scandinavian Journal of Clinical and Laboratory Investigation
|
April 21, 2025
Performance assessment of ChatGPT in classification of urine particles
Laura Pighi, Davide Negrini, Marco Tosi, et al.
Advances in Laboratory Medicine
|
December 23, 2024
Marco Tosi, Davide Negrini, Giovanni Celegon, et al.
Advances in Laboratory Medicine
|
December 23, 2024
Investigating the incremental value of urine sediment reporting in emergency medicine with a Sysmex UN urinalysis system
Marco Tosi, Davide Negrini, Giovanni Celegon, et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry
|
June 3, 2020
Diagnostic performances and thresholds: The key to harmonization in serological SARS-CoV-2 assays?
Mario Plebani, Andrea Padoan, Davide Negrini, et al.
Page
of 3