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. 2024 Dec 23;21(1):196.
doi: 10.1186/s12978-024-01924-9.

Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7

Fred Yao Gbagbo  1 , Edward Kwabena Ameyaw  2 , Sanni Yaya  3
Affiliations

Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7

Fred Yao Gbagbo et al. Reprod Health. .

Abstract

Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and reproductive health (SRH) services by 2030, including family planning services, information, education, and integration into national strategies. In contemporary times, reproductive medicine is progressively incorporating artificial intelligence (AI) to enhance sperm cell prediction and selection, in vitro fertilisation models, infertility and pregnancy screening. AI is being integrated into five core components of Sexual Reproductive Health, including improving care, providing high-quality contraception and infertility services, eliminating unsafe abortions, as well as facilitating the prevention and treatment of sexually transmitted infections. Though AI can improve sexual reproductive health and rights by addressing disparities and enhancing service delivery, AI-facilitated components have ethical implications, based on existing human rights and international conventions. Heated debates persist in implementing AI, particularly in maternal health, as well as sexual, reproductive health as the discussion centers on a torn between human touch and machine-driven care. In spite of this and other challenges, AI's application in sexual, and reproductive health and rights is crucial, particularly for developing countries, especially those that are yet to explore the application of AI in healthcare. Action plans are needed to roll out AI use in these areas effectively, and capacity building for health workers is essential to achieve the Sustainable Development Goals' Target 3.7. This commentary discusses innovations in sexual, and reproductive health and rights in meeting target 3.7 of the SDGs with a focus on artificial intelligence and highlights the need for a more circumspective approach in response to the ethical and human rights implications of using AI in providing sexual and reproductive health services.

Keywords: Artificial intelligence; Innovation; Reproductive health and rights; Sexual; Sustainable development goals.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: Sanni Yaya is Editor-in-Chief of Reproductive Health.

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References

    1. United Nations. Transforming our world: the 2030 agenda for sustainable development. New York: United Nations; 2015.
    1. World Health Organization. Human reproduction programme (HRP) revised programme budget 2022–2023. Geneva: World Health Organization; p. 8.
    1. World Health Organization. Optimizing the contributions of the nursing and midwifery workforce to achieve universal health coverage and the sustainable development goals through education, research and practice. Geneva: World Health Organization; 2017.
    1. Hariton E, Pavlovic Z, Fanton M, Jiang VS. Applications of artificial intelligence in ovarian stimulation: a tool for improving efficiency and outcomes. Fertil Steril. 2023;120(1):8–16. - PubMed
    1. Raimundo JM, Cabrita P. Artificial intelligence at assisted reproductive technology. Procedia Comput Sci. 2021;181:442–7.

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