Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Gianluca Nerli"'
Autor:
Martina Padovan, Bianca Cosci, Armando Petillo, Gianluca Nerli, Francesco Porciatti, Sergio Scarinci, Francesco Carlucci, Letizia Dell’Amico, Niccolò Meliani, Gabriele Necciari, Vincenzo Carmelo Lucisano, Riccardo Marino, Rudy Foddis, Alessandro Palla
Publikováno v:
Bioengineering, Vol 11, Iss 1, p 57 (2024)
The objective of this study is to evaluate ChatGPT’s accuracy and reliability in answering complex medical questions related to occupational health and explore the implications and limitations of AI in occupational health medicine. The study also p
Externí odkaz:
https://doaj.org/article/c1c7bff0ed6f4b8ba4597550cc720864
Autor:
Rudy Foddis, Riccardo Marino, Roberto Silvestri, Poupak Fallahi, Salvio Perretta, Christian Garaffa, Riccardo Morganti, Martina Corsi, Jonathan Mennucci, Francesco Porciatti, Gianluca Nerli, Rodolfo Buselli, Antonello Veltri, Fabrizio Caldi, Giovanni Guglielmi, Grazia Luchini, Silvia Briani, Donatella Talini, Francesco Cipriani
Publikováno v:
Vaccines, Vol 10, Iss 8, p 1244 (2022)
With the development of SARS-CoV-2 vaccines, many authors started evaluating the immunization efficacy of the available vaccines mainly through sero-positivity tests or by a quantitative assessment of the IgG against the spike protein of SARS-CoV-2 v
Externí odkaz:
https://doaj.org/article/a6d78d9bdd8f4a4aa9ca5516b8e0f01b
Autor:
Martina Padovan, Bianca Cosci, Armando Petillo, Gianluca Nerli, Francesco Porciatti, Sergio Scarinci, Francesco Carlucci, Letizia Dell’Amico, Niccolo’ Meliani, Gabriele Necciari, Vincenzo Carmelo Lucisano, Riccardo Marino, Rudy Foddis, Alessandro Palla
ObjectivesThe objective of this study is to evaluate ChatGPT’s accuracy and reliability in answering complex medical questions related to occupational health and to explore the implications and limitations of AI in occupational health medicine whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ce6d3a7cdf44da384a9166e575841d
https://doi.org/10.1101/2023.05.17.23290055
https://doi.org/10.1101/2023.05.17.23290055