Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.

Abuelezz, Israa; Hassan, Asma; Jaber, Bassam Ali; Sharique, Mohamad; Abd-Alrazaq, Alaa; Househ, Mowafa; Alam, Tanvir; Shah, Zubair

Abuelezz, Israa; Hassan, Asma; Jaber, Bassam Ali; Sharique, Mohamad; Abd-Alrazaq, Alaa; Househ, Mowafa; Alam, Tanvir; Shah, Zubair.

Afiliación

Abuelezz I; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Hassan A; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Jaber BA; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Sharique M; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Abd-Alrazaq A; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Househ M; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Alam T; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Shah Z; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

Stud Health Technol Inform ; 289: 333-336, 2022 Jan 14.

Article en En | MEDLINE | ID: mdl-35062160

Asunto(s)

Inteligencia Artificial; Atención a la Salud; Femenino; Instituciones de Salud; Humanos; Embarazo

Palabras clave

Artificial intelligence; machine learning; pregnancy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Atención a la Salud Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Aspecto: Determinantes_sociais_saude Límite: Female / Humans / Pregnancy Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Qatar

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