Integration of Artificial Intelligence in Midwifery Care: A Systematic Review

Abstract

Introduction: Maternal and child health provide critical indicators of the health status of a country. Despite gains made over the decades, challenges continue to plague health care systems, especially in some developing countries. The integration of Artificial Intelligence (AI) into midwifery practice can potentially offer innovative opportunities which can revolutionize the way care is delivered. This review aims to identify evidence of the use of AI to enhance midwifery practice thereby reducing maternal morbidity and mortality. Objective: To determine the applicability of AI in midwifery practice to reduce maternal morbidity and mortality. Methods: Ninety-one articles were obtained using key words artificial intelligence, artificial intelligence in midwifery practice, maternal morbidity and mortality, midwifery practice. Sources of data include Google Scholar and EBSCO host. A total of eight (23) articles met inclusion criteria using key terms. Results: After inclusion/exclusion criteria was applied, 23 articles were selected. Seven (30. 4% addressed AI in midwifery, 7 (30.4 %) health care, 4 (17.3 %) use of AI in medicine, 2 (9%) AI, 1 (4.3) deep learning, I (4.3%) International Federation of Midwives and 1 (4.3%) World Health Organization Fact Sheet. Conclusion: The literature is sparse with evidence of the application of AI in midwifery practice to aid in the reduction of maternal morbidity and mortality as well as its application in low-resourced countries of the Caribbean region. Based on the use of artificial intelligence by other professions such as medicine to identify and prevent maternal morbidity, its use in by midwives is likely to enhance midwifery practice.

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