AIMC Topic: Midwifery
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The Relationship Between Anxiety and Readiness Levels Regarding Artificial Intelligence in Midwives: An Intergenerational Comparative Study.
Computers, informatics, nursing : CIN
May 1, 2025
This study aimed to compare Generations X, Y, and Z in terms of anxiety and readiness levels regarding artificial intelligence and investigate the relationship between anxiety and readiness levels regarding artificial intelligence in midwives across ...
Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.
BMC public health
Mar 6, 2025
INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from childbirth or pregnancy. This issue is a forefront public health challenge around the globe which is pronounced in low- and middle-income countries, parti...
Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia.
BMC medical informatics and decision making
Feb 7, 2025
BACKGROUND: Low birth weight (LBW) is a critical global health issue that affects infants disproportionately, particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing fr...
Relationship Between Individual Innovativeness Levels and Attitudes Toward Artificial Intelligence Among Nursing and Midwifery Students.
Computers, informatics, nursing : CIN
Nov 1, 2024
The aim of this study is to explore the connection between individual innovativeness levels and attitudes toward artificial intelligence among nursing and midwifery students. Data were collected from 500 nursing and midwifery students studying at a u...
Effects of midwifery and nursing students' readiness about medical Artificial intelligence on Artificial intelligence anxiety.
Nurse education in practice
May 24, 2024
BACKGROUND: Artificial intelligence technologies are one of the most important technologies of today. Developments in artificial intelligence technologies have widespread and increased the use of artificial intelligence in many areas. The field of he...
Facilitating accurate health provider directories using natural language processing.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: Accurate information in provider directories are vital in health care including health information exchange, health benefits exchange, quality reporting, and in the reimbursement and delivery of care. Maintaining provider directory data a...
Midwifery students' understanding and knowledge of normal birth before 'delivery' of curriculum.
Midwifery
Dec 26, 2017
OBJECTIVE: To generate new knowledge that describes and explains the views and understanding, regarding midwifery and normal birth, that newly enrolled midwifery students hold at the commencement of their midwifery education.
Navigating Quality and Innovation: Actor-Network Theory and Hybrid Assemblages in Midwifery Practice, Implications of Maternity Early Warning Tools and Artificial Intelligence.
Nursing inquiry
Apr 1, 2025
Midwifery philosophy views childbearing as primarily normal, indicative of a woman's overall health. Midwifery practice focuses on supporting the human-to-human relationship between the midwife and the woman holding primacy. Despite the traditional f...
Robot chores: machines make the decisions on mock maternity ward.
Nursing standard (Royal College of Nursing (Great Britain) : 1987)
Jul 20, 2016
Robots could be used to make decisions on wards, American scientists have claimed.
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