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Andrea Calcagno

Dados Biográficos

ID7036732
NOMEAndrea Calcagno
PRENOMESAndrea
SOBRENOMECalcagno
ASSINATURACALCAGNO A
AFILIAÇÕESOspedale Amedeo di Savoia
ORCID0000-0003-2534-8815
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Assessing ChatGPT’s Potential in HIV Prevention Communication

    Open Access•Andrea De Vito, Agnese Colpani et al.•ARTICLE•AIDS and Behavior•2024

    With the advancement of artificial intelligence(AI), platforms like ChatGPT have gained traction in different fields, including Medicine. This study aims to evaluate the potential of ChatGPT in addressing questions related to HIV prevention and to assess its accuracy, completeness, and inclusivity. A team consisting of 15 physicians, six members from HIV communities, and three experts in gender and queer studies designed an assessment of ChatGPT.…

  • Symptomatic and Asymptomatic Neurocognitive Impairment, ART Adherence and HIV Control

    Open Access•Mattia Trunfio, Elisa Vuaran et al.•ARTICLE•AIDS and Behavior•2024

  • Screening Accuracy of Mini Addenbrooke’s Cognitive Examination Test for HIV-Associated Neurocognitive Disorders in People Ageing with HIV

    Open Access•Mattia Trunfio, Davide De Francesco et al.•ARTICLE•AIDS and Behavior•2022

  • Implementing routine physical function screening among elderly HIV-positive patients in Uganda

    Isaac Lwanga, Maria Sarah Nabaggala et al.•ARTICLE•AIDS Care•2020

    We conducted a cross-sectional study to describe routine physical function assessment for HIV-infected adults aged ≥60 years attending a large urban HIV clinic in Kampala, Uganda. Assessed demographic and clinical factors associated with low physical function in the population, generalized linear regression model was used to estimate factors associated with low physical function. Of the 93 elderly patients that underwent the Short Physical Perfor…

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  • Implementing routine physical function screening among elderly HIV-positive patients in Uganda

    Isaac Lwanga, Maria Sarah Nabaggala et al.•ARTICLE•AIDS Care•2020

    We conducted a cross-sectional study to describe routine physical function assessment for HIV-infected adults aged ≥60 years attending a large urban HIV clinic in Kampala, Uganda. Assessed demographic and clinical factors associated with low physical function in the population, generalized linear regression model was used to estimate factors associated with low physical function. Of the 93 elderly patients that underwent the Short Physical Perfor…

  • Screening Accuracy of Mini Addenbrooke’s Cognitive Examination Test for HIV-Associated Neurocognitive Disorders in People Ageing with HIV

    Open Access•Mattia Trunfio, Davide De Francesco et al.•ARTICLE•AIDS and Behavior•2022

  • Assessing ChatGPT’s Potential in HIV Prevention Communication

    Open Access•Andrea De Vito, Agnese Colpani et al.•ARTICLE•AIDS and Behavior•2024

    With the advancement of artificial intelligence(AI), platforms like ChatGPT have gained traction in different fields, including Medicine. This study aims to evaluate the potential of ChatGPT in addressing questions related to HIV prevention and to assess its accuracy, completeness, and inclusivity. A team consisting of 15 physicians, six members from HIV communities, and three experts in gender and queer studies designed an assessment of ChatGPT.…

  • Symptomatic and Asymptomatic Neurocognitive Impairment, ART Adherence and HIV Control

    Open Access•Mattia Trunfio, Elisa Vuaran et al.•ARTICLE•AIDS and Behavior•2024

Medicine (4 obras) · HIV-related health complications and treatments (3 obras) · HIV/AIDS Research and Interventions (3 obras) · Human immunodeficiency virus (HIV (3 obras) · Immunology (3 obras) · Internal Medicine (3 obras) · Asymptomatic (2 obras) · Cognition (2 obras) · HIV Research and Treatment (2 obras) · Neurocognitive (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae