[HTML][HTML] A cybernetic framework for predicting preterm and enhancing care strategies: A review
E Nsugbe - Biomedical Engineering Advances, 2021 - Elsevier
Preterm is viewed as the birth of a human foetus prior to 37 complete weeks of gestation. It
has effects on the health of both the foetus and the mother, has financial consequences to …
has effects on the health of both the foetus and the mother, has financial consequences to …
Artificial intelligence: a rapid case for advancement in the personalization of gynaecology/obstetric and mental health care
To evaluate and holistically treat the mental health sequelae and potential psychiatric
comorbidities associated with obstetric and gynaecological conditions, it is important to …
comorbidities associated with obstetric and gynaecological conditions, it is important to …
A Theoretical Exploration of Artificial Intelligence's Impact on Feto-Maternal Health from Conception to Delivery
I Yaseen, RA Rather - International Journal of Women's Health, 2024 - Taylor & Francis
Abstract The implementation of Artificial Intelligence (AI) in healthcare is enhancing
diagnostic accuracy in clinical setups. The use of AI in healthcare is steadily increasing with …
diagnostic accuracy in clinical setups. The use of AI in healthcare is steadily increasing with …
Computational Approaches for Predicting Preterm Birth and Newborn Outcomes
D Seong, C Espinosa… - Clinics in …, 2024 - perinatology.theclinics.com
Globally, preterm birth (PTB) is the leading cause of infant morbidity and mortality among
children under the age of 5 years 1 and its rates have not decreased significantly in the past …
children under the age of 5 years 1 and its rates have not decreased significantly in the past …
Use of artificial intelligence in obstetrics: not quite ready for prime time
Artificial intelligence is finding several applications in healthcare settings. This study aimed
to report evidence on the effectiveness of artificial intelligence application in obstetrics …
to report evidence on the effectiveness of artificial intelligence application in obstetrics …
[引用][C] The process and outcomes of setting research priorities about preterm birth–a collaborative partnership
Traditionally researchers, funders or policy makers have decided the future research
agenda, rather than the service users or clinicians who deal with the consequences of the …
agenda, rather than the service users or clinicians who deal with the consequences of the …
Contribution of artificial intelligence in pregnancy: a scoping review
I Abuelezz, A Hassan, BA Jaber… - … and Technology in …, 2022 - ebooks.iospress.nl
For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial
Intelligence (AI) technologies being used in many different medical specialties. Recently, AI …
Intelligence (AI) technologies being used in many different medical specialties. Recently, AI …
Artificial Intelligence for Improved Maternal Healthcare: A Systematic Literature Review
M Chemisto, TJL Gutu, K Kalinaki… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) in maternal health is a promising avenue for
improving pregnancy, early childhood, and postnatal care. This systematic review analyzed …
improving pregnancy, early childhood, and postnatal care. This systematic review analyzed …
[HTML][HTML] Enhancing care strategies for preterm pregnancies by using a prediction machine to aid clinical care decisions
Preterm births are one of the main causes of death in children under the age of 5; they carry
financial implications to the economy and cause exceptional psychological distress to …
financial implications to the economy and cause exceptional psychological distress to …
Perinatal health predictors using artificial intelligence: A review
Advances in public health and medical care have enabled better pregnancy and birth
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …