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

IF 3.6 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Reproductive Health Pub Date : 2024-12-23 DOI:10.1186/s12978-024-01924-9
Fred Yao Gbagbo, Edward Kwabena Ameyaw, Sanni Yaya
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引用次数: 0

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.

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来源期刊
Reproductive Health
Reproductive Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.00
自引率
5.90%
发文量
220
审稿时长
>12 weeks
期刊介绍: Reproductive Health focuses on all aspects of human reproduction. The journal includes sections dedicated to adolescent health, female fertility and midwifery and all content is open access. Reproductive health is defined as a state of physical, mental, and social well-being in all matters relating to the reproductive system, at all stages of life. Good reproductive health implies that people are able to have a satisfying and safe sex life, the capability to reproduce and the freedom to decide if, when, and how often to do so. Men and women should be informed about and have access to safe, effective, affordable, and acceptable methods of family planning of their choice, and the right to appropriate health-care services that enable women to safely go through pregnancy and childbirth.
期刊最新文献
Postabortion contraceptive use among women in Nepal: results from a longitudinal cohort study. Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7. 'I am a father but not pregnant': a qualitative analysis of the perspectives of pregnant couples on male partner role during pregnancy care in Bamenda, Cameroon. Editorial Expression Of Concern: Maternal fat free mass during pregnancy is associated with birth weight. Optimizing screening practice for gestational diabetes mellitus in primary healthcare facilities in Tanzania: research protocol.
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