Gbagbo Fred Yao, Ameyaw Edward Kwabena, Yaya Sanni
University of Education, Winneba, Ghana.
Institute of Policy Studies and School of Graduate Studies, Lingnan University, Tuen Mun, Hong Kong.
Reprod Health. 2024 Dec 23;21(1):196. doi: 10.1186/s12978-024-01924-9.
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.
可持续发展目标(SDGs)的目标3.7旨在到2030年实现普遍获得性与生殖健康(SRH)服务,包括计划生育服务、信息、教育,并将其纳入国家战略。在当代,生殖医学正逐步融入人工智能(AI),以加强精子细胞预测与筛选、体外受精模型、不孕症和妊娠筛查。人工智能正被整合到性与生殖健康的五个核心组成部分中,包括改善护理、提供高质量的避孕和不孕症服务、消除不安全堕胎,以及促进性传播感染的预防和治疗。尽管人工智能可以通过解决差异和改善服务提供来改善性与生殖健康及权利,但基于现有人权和国际公约,人工智能辅助的组成部分具有伦理影响。在实施人工智能方面,尤其是在孕产妇健康以及性与生殖健康方面,仍存在激烈的争论,因为讨论集中在人际关怀与机器驱动护理之间的矛盾上。尽管存在这些及其他挑战,但人工智能在性与生殖健康及权利方面的应用至关重要,特别是对于发展中国家,尤其是那些尚未探索人工智能在医疗保健中应用的国家。需要制定行动计划,以有效地在这些领域推广人工智能的使用,对卫生工作者进行能力建设对于实现可持续发展目标的目标3.7至关重要。本评论讨论了在实现可持续发展目标的目标3.7方面性与生殖健康及权利的创新,重点是人工智能,并强调需要采取更审慎的方法来应对在提供性与生殖健康服务中使用人工智能所带来的伦理和人权影响。