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Linda Lombi

Biographic Data

ID307347
NAMELinda Lombi
GIVEN NAMESLinda
FAMILY NAMELombi
SIGNATURELOMBI L
AFFILIATIONSUniversità Cattolica del Sacro Cuore
ORCID0000-0002-8486-1021
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS11
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Recalibrating expectations in robotic and AI-enhanced care

    Eleonora Rossero, Linda Lombi•ARTICLE•Health Risk & Society•2026

    In contemporary health care, future imaginaries are increasingly shaped by the anticipated integration of robotics and artificial intelligence (AI). These technologies are framed both as tools to improve current clinical practices and as catalysts for profound transformations in healthcare delivery. This study explores how clinicians engage with these innovations in their daily practice, shaping sociotechnical futures through discourse, negotiati…

  • How artificial intelligence is reshaping the autonomy and boundary work of radiologists. A qualitative study

    Open Access•Linda Lombi, Eleonora Rossero•ARTICLE•Sociology of Health & Illness•2024•Cited by: 4•References: 11

    The application of artificial intelligence (AI) in medical practice is spreading, especially in technologically dense fields such as radiology, which could consequently undergo profound transformations in the near future. This article aims to qualitatively explore the potential influence of AI technologies on the professional identity of radiologists. Drawing on 12 in-depth interviews with a subgroup of radiologists who participated in a larger s…

  • I Know That I Know

    Open Access•Alessia Bertolazzi, Linda Lombi et al.•ARTICLE•Sociological Forum•2023•Cited by: 2•References: 16

    The increasing access to online health information and the use of this information for self‐medication or self‐diagnosis can foster a discounting of the epistemic authority of experts, as well as an over‐reliance on laypersons' expertise. However, the emerging cognitive bias—the overconfidence effect—is poorly investigated in the sociological field. This study offers a novel contribution to the role of overconfidence bias in online health informa…

  • Women's Experience of Depressive Symptoms While Working From Home During the Covid-19 Pandemic

    Open Access•Emily Burns, Giulia Tattarini et al.•ARTICLE•Frontiers in Sociology•2022•Cited by: 1•References: 12

    The COVID-19 pandemic led to significant changes in workplace practices as social distancing requirements meant that people were asked to work from home where possible to avoid unnecessary contact. Concerns have been raised about the effects of the pandemic on mental health and, in particular, the effects of social distancing on employed women's mental health. In this study, we explore the experiences of working women during the initial stages of…

  • The Effect of Social Isolation on Physical Activity during the Covid-19 Pandemic in France

    Open Access•Alessandro Porrovecchio, Pedro R Olivares et al.•ARTICLE•International Journal of…•2021

    The objective of this cross-sectional study is to analyze the changes in physical activity (PA) practice of a sample of 2099 French adults, mostly females, who answered an online questionnaire during the first COVID-19 lockdown (March-May 2020). A descriptive analysis of participants was performed using relative frequencies. Chi-squared tests were performed to compare the responses of selected variables. Multinomial logistic regressions were perf…

  • Depressive symptoms and perception of risk during the first wave of the Covid-19 pandemic

    Open Access•Marco Terraneo, Linda Lombi et al.•ARTICLE•Sociology of Health & Illness•2021•Cited by: 4•References: 4

    Evidence is accumulating of the negative impact of the COVID-19 pandemic and related public health measures on mental health. In this emergent field, there has been little research into the role of risk perception on depressive symptoms and the contribution of health-care resources to model risk perception and mental health. The aim of this paper is to describe the relationship between individual-level perception of risk and depression, controlli…

  • How artificial intelligence is reshaping the autonomy and boundary work of radiologists. A qualitative study

    Open Access•Linda Lombi, Eleonora Rossero•ARTICLE•Sociology of Health & Illness•2024•Cited by: 4•References: 11

    The application of artificial intelligence (AI) in medical practice is spreading, especially in technologically dense fields such as radiology, which could consequently undergo profound transformations in the near future. This article aims to qualitatively explore the potential influence of AI technologies on the professional identity of radiologists. Drawing on 12 in-depth interviews with a subgroup of radiologists who participated in a larger s…

  • Depressive symptoms and perception of risk during the first wave of the Covid-19 pandemic

    Open Access•Marco Terraneo, Linda Lombi et al.•ARTICLE•Sociology of Health & Illness•2021•Cited by: 4•References: 4

    Evidence is accumulating of the negative impact of the COVID-19 pandemic and related public health measures on mental health. In this emergent field, there has been little research into the role of risk perception on depressive symptoms and the contribution of health-care resources to model risk perception and mental health. The aim of this paper is to describe the relationship between individual-level perception of risk and depression, controlli…

  • I Know That I Know

    Open Access•Alessia Bertolazzi, Linda Lombi et al.•ARTICLE•Sociological Forum•2023•Cited by: 2•References: 16

    The increasing access to online health information and the use of this information for self‐medication or self‐diagnosis can foster a discounting of the epistemic authority of experts, as well as an over‐reliance on laypersons' expertise. However, the emerging cognitive bias—the overconfidence effect—is poorly investigated in the sociological field. This study offers a novel contribution to the role of overconfidence bias in online health informa…

  • Women's Experience of Depressive Symptoms While Working From Home During the Covid-19 Pandemic

    Open Access•Emily Burns, Giulia Tattarini et al.•ARTICLE•Frontiers in Sociology•2022•Cited by: 1•References: 12

    The COVID-19 pandemic led to significant changes in workplace practices as social distancing requirements meant that people were asked to work from home where possible to avoid unnecessary contact. Concerns have been raised about the effects of the pandemic on mental health and, in particular, the effects of social distancing on employed women's mental health. In this study, we explore the experiences of working women during the initial stages of…

  • The Effect of Social Isolation on Physical Activity during the Covid-19 Pandemic in France

    Open Access•Alessandro Porrovecchio, Pedro R Olivares et al.•ARTICLE•International Journal of…•2021

    The objective of this cross-sectional study is to analyze the changes in physical activity (PA) practice of a sample of 2099 French adults, mostly females, who answered an online questionnaire during the first COVID-19 lockdown (March-May 2020). A descriptive analysis of participants was performed using relative frequencies. Chi-squared tests were performed to compare the responses of selected variables. Multinomial logistic regressions were perf…

  • Depressive symptoms and perception of risk during the first wave of the Covid-19 pandemic

    Open Access•Marco Terraneo, Linda Lombi et al.•ARTICLE•Sociology of Health & Illness•2021•Cited by: 4•References: 4

    Evidence is accumulating of the negative impact of the COVID-19 pandemic and related public health measures on mental health. In this emergent field, there has been little research into the role of risk perception on depressive symptoms and the contribution of health-care resources to model risk perception and mental health. The aim of this paper is to describe the relationship between individual-level perception of risk and depression, controlli…

  • Women's Experience of Depressive Symptoms While Working From Home During the Covid-19 Pandemic

    Open Access•Emily Burns, Giulia Tattarini et al.•ARTICLE•Frontiers in Sociology•2022•Cited by: 1•References: 12

    The COVID-19 pandemic led to significant changes in workplace practices as social distancing requirements meant that people were asked to work from home where possible to avoid unnecessary contact. Concerns have been raised about the effects of the pandemic on mental health and, in particular, the effects of social distancing on employed women's mental health. In this study, we explore the experiences of working women during the initial stages of…

  • I Know That I Know

    Open Access•Alessia Bertolazzi, Linda Lombi et al.•ARTICLE•Sociological Forum•2023•Cited by: 2•References: 16

    The increasing access to online health information and the use of this information for self‐medication or self‐diagnosis can foster a discounting of the epistemic authority of experts, as well as an over‐reliance on laypersons' expertise. However, the emerging cognitive bias—the overconfidence effect—is poorly investigated in the sociological field. This study offers a novel contribution to the role of overconfidence bias in online health informa…

  • How artificial intelligence is reshaping the autonomy and boundary work of radiologists. A qualitative study

    Open Access•Linda Lombi, Eleonora Rossero•ARTICLE•Sociology of Health & Illness•2024•Cited by: 4•References: 11

    The application of artificial intelligence (AI) in medical practice is spreading, especially in technologically dense fields such as radiology, which could consequently undergo profound transformations in the near future. This article aims to qualitatively explore the potential influence of AI technologies on the professional identity of radiologists. Drawing on 12 in-depth interviews with a subgroup of radiologists who participated in a larger s…

  • Recalibrating expectations in robotic and AI-enhanced care

    Eleonora Rossero, Linda Lombi•ARTICLE•Health Risk & Society•2026

    In contemporary health care, future imaginaries are increasingly shaped by the anticipated integration of robotics and artificial intelligence (AI). These technologies are framed both as tools to improve current clinical practices and as catalysts for profound transformations in healthcare delivery. This study explores how clinicians engage with these innovations in their daily practice, shaping sociotechnical futures through discourse, negotiati…

Psychology (5 works) · Medicine (4 works) · Coronavirus disease 2019 (COVID-19 (3 works) · COVID-19 and Mental Health (3 works) · Pandemic (3 works) · Sociology (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Disease (2 works) · Gerontology (2 works) · Health care (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae