• español
    • English
    • português
  • English 
    • español
    • English
    • português
  • Login
View Item 
  •   Home
  • Productos de Investigación - Creación
  • Repositorio Documental COVID-19
  • Documentos científicos relacionados a la COVID-19
  • View Item
  •   Home
  • Productos de Investigación - Creación
  • Repositorio Documental COVID-19
  • Documentos científicos relacionados a la COVID-19
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
JavaScript esta deshabilitado en su navegador. Algunas características de este sitio no podrán funcionar o visualizarse correctamente sin JavaScript.
RecursosRecursos de apoyo¿Cómo publicar?

Browse

All of ExpeditioCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage StatisticsView Google Analytics Statistics
Estadísticas GTMVer Estadísticas GTM

Artificial intelligence and the future of global health

Thumbnail

Citación

       
Export: <XML METS>
View/Open
Documento reservado (246.1Kb)
Fin embargo: 
Date
2020-05-16
Author
Schwalbe, Nina
Wahl, Brian
Metadata
Show full item record
Documentos PDF
Summary in foreign language
Concurrent advances in information technology infrastructure and mobile computing power in many low and middle-income countries (LMICs) have raised hopes that artificial intelligence (AI) might help to address challenges unique to the field of global health and accelerate achievement of the health-related sustainable development goals. A series of fundamental questions have been raised about AI-driven health interventions, and whether the tools, methods, and protections traditionally used to make ethical and evidence-based decisions about new technologies can be applied to AI. Deployment of AI has already begun for a broad range of health issues common to LMICs, with interventions focused primarily on communicable diseases, including tuberculosis and malaria. Types of AI vary, but most use some form of machine learning or signal processing. Several types of machine learning methods are frequently used together, as is machine learning with other approaches, most often signal processing. AI-driven health interventions fit into four categories relevant to global health researchers: (1) diagnosis, (2) patient morbidity or mortality risk assessment, (3) disease outbreak prediction and surveillance, and (4) health policy and planning. However, much of the AI-driven intervention research in global health does not describe ethical, regulatory, or practical considerations required for widespread use or deployment at scale. Despite the field remaining nascent, AI-driven health interventions could lead to improved health outcomes in LMICs. Although some challenges of developing and deploying these interventions might not be unique to these settings, the global health community will need to work quickly to establish guidelines for development, testing, and use, and develop a user-driven research agenda to facilitate equitable and ethical use.
URI
http://hdl.handle.net/20.500.12010/12021
Link to resource
https://www.sciencedirect.com/science/article/pii/S0140673620302269
Collections
  • Documentos científicos relacionados a la COVID-19 [2292]
Estadísticas Google Analytics
Comments

Respuesta Comentario Repositorio Expeditio

Gracias por tomarse el tiempo para darnos su opinión.


Carrera 4 # 22-61 Teléfono: (+57 1) 242 7030 - 018000111022 Fax: (+57 1) 561 2107 Bogotá D.C., Colombia

Fundación Universitaria de Bogotá Jorge Tadeo Lozano | Vigilada Mineducación

Institución de educación superior privada, de utilidad común, sin ánimo de lucro y su carácter académico es el de Universidad.

Reconocimiento personería jurídica: Resolución 2613 del 14 de agosto de 1959 Minjusticia.

Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional.

 

Términos y condiciones | Políticas

 

 


Carrera 4 # 22-61 Teléfono: (+57 1) 242 7030 - 018000111022 Fax: (+57 1) 561 2107 Bogotá D.C., Colombia

Fundación Universitaria de Bogotá Jorge Tadeo Lozano | Vigilada Mineducación

Institución de educación superior privada, de utilidad común, sin ánimo de lucro y su carácter académico es el de Universidad.

Reconocimiento personería jurídica: Resolución 2613 del 14 de agosto de 1959 Minjusticia.

Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional.

 

Términos y condiciones | Políticas