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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Gbagbo, Fred Yao Ameyaw, Edward Kwabena Yaya, Sanni |
| 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. |
| Related Links | https://reproductive-health-journal.biomedcentral.com/counter/pdf/10.1186/s12978-024-01924-9.pdf |
| Ending Page | 8 |
| Page Count | 8 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17424755 |
| DOI | 10.1186/s12978-024-01924-9 |
| Journal | Reproductive Health |
| Issue Number | 1 |
| Volume Number | 21 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-12-23 |
| Access Restriction | Open |
| Subject Keyword | Reproductive Medicine Public Health Maternal and Child Health Artificial intelligence Sustainable development goals Sexual Reproductive health and rights Innovation |
| Content Type | Text |
| Subject | Obstetrics and Gynecology Reproductive Medicine |
| Journal Impact Factor | 3.6/2023 |
| 5-Year Journal Impact Factor | 4/2023 |
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