Les santés vulnérables des Suds

Lysaniuk, Benjamin; Tabeaud, Martine

doi:10.3917/eg.443.0229

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…The Global South is a grouping of countries and territories, from South America, Africa, and Asia, that are highly heterogeneous in terms of socioeconomic, cultural, and political characteristics, even though they share (i) obstacles and barriers to access to community and public healthcare services, (ii) the burden of disease generated by communicable disorders, (iii) food and (iv) job insecurity, and (v) the lack of state-of-art resources and infrastructure, necessary for their growth and development [80].…”

Section: The Global Southmentioning

confidence: 99%

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Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

et al. 2023

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In the present paper, we will explore how artificial intelligence (AI) and big data analytics (BDA) can help address clinical public and global health needs in the Global South, leveraging and capitalizing on our experience with the “Africa-Canada Artificial Intelligence and Data Innovation Consortium” (ACADIC) Project in the Global South, and focusing on the ethical and regulatory challenges we had to face. “Clinical public health” can be defined as an interdisciplinary field, at the intersection of clinical medicine and public health, whilst “clinical global health” is the practice of clinical public health with a special focus on health issue management in resource-limited settings and contexts, including the Global South. As such, clinical public and global health represent vital approaches, instrumental in (i) applying a community/population perspective to clinical practice as well as a clinical lens to community/population health, (ii) identifying health needs both at the individual and community/population levels, (iii) systematically addressing the determinants of health, including the social and structural ones, (iv) reaching the goals of population’s health and well-being, especially of socially vulnerable, underserved communities, (v) better coordinating and integrating the delivery of healthcare provisions, (vi) strengthening health promotion, health protection, and health equity, and (vii) closing gender inequality and other (ethnic and socio-economic) disparities and gaps. Clinical public and global health are called to respond to the more pressing healthcare needs and challenges of our contemporary society, for which AI and BDA can help unlock new options and perspectives. In the aftermath of the still ongoing COVID-19 pandemic, the future trend of AI and BDA in the healthcare field will be devoted to building a more healthy, resilient society, able to face several challenges arising from globally networked hyper-risks, including ageing, multimorbidity, chronic disease accumulation, and climate change.

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Section: The Global Southmentioning

confidence: 99%

“…The former is, instead, a meta-category or a broad umbrella term that comprises a vast array of decolonized nations, south of the old colonial centers of power. The health needs of the populations dwelling in the Global South are generally overlooked in the scholarly literature and are not prioritized in the political agenda [80].…”

Section: The Global Southmentioning

confidence: 99%

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

et al. 2023

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“…Or, le développement et la durabilité des élevages dépendent des interactions avec les autres acteurs à l'échelle territoriale (favorisant la production d'innovations et de ressources) (Lasseur et al, 2019). C'est particulièrement vrai pour la santé (humaine et animale), puisqu'elle est considérée soit comme un bien public (Delabouglise, 2015), soit comme un capital à la fois individuel et collectif (Fleuret et Séchet, 2004), dans tous les cas comme une ressource (Lysaniuk et Tabeaud, 2015) qui appelle une gestion collective.…”

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Action collective et gestion sanitaire des élevages porcins en Corse

Gisclard¹,

Devleeshouwer²,

Charrier³

et al. 2021

developpementdurable

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Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

Kong,

Akpudo,

Effoduh

et al. 2023

Preprint

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<p>In the present paper, we will explore how artificial intelligence (AI) and big data analytics (BDA) can help address clinical public and global health needs in the Global South, leveraging and capitalizing on our experience with the “Africa-Canada Artificial Intelligence and Data Innovation Consortium” (ACADIC) Project in the Global South, and focusing on the ethical and regulatory challenges we had to face. “Clinical public health” can be defined as an interdisciplinary field, at the intersection of clinical medicine and public health, whilst “clinical global health” is the practice of clinical public health with a special focus on health issue management in resource-limited settings and contexts, including the Global South. As such, clinical public and global health represent vital approaches, instrumental in (i) applying a community/population perspective to clinical practice as well as a clinical lens to community/population health, (ii) identifying health needs both at the individual and community/population levels, (iii) systematically addressing the determinants of health, including the social and structural ones, (iv) reaching the goals of population’s health and well-being, especially of socially vulnerable, underserved communities, (v) better coordinating and integrating the delivery of healthcare provisions, (vi) strengthening health promotion, health protection, and health equity, and (vii) closing gender inequality and other (ethnic and socio-economic) disparities and gaps. Clinical public and global health are called to respond to the more pressing healthcare needs and challenges of our contemporary society, for which AI and BDA can help unlock new options and perspectives. In the aftermath of the still ongoing COVID-19 pandemic, the future trend of AI and BDA in the healthcare field will be devoted to building a more healthy, resilient society, able to face several challenges arising from globally networked hyper-risks, including ageing, multimorbidity, chronic disease accumulation, and climate change.</p>

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Les santés vulnérables des Suds

Cited by 4 publications

References 14 publications

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

Action collective et gestion sanitaire des élevages porcins en Corse

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

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