Big Data and AI in Sexual and Reproductive Health
A Comment
Bibliographic Data
| ID | 10795504 |
|---|---|
| Authors | Mahesh Karra (0000-0003-0962-092X, corresponding author), Saumya RamaRao (0000-0003-2971-3648) |
| Year | 2025 |
| Volume | 56 |
| Issue | 2 |
| Pages | 317-331 |
| Publication date | 2025-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studies in Family Planning (JOURNAL) |
| Journal identifiers | ISSN: 0039-3665 • E-ISSN: 1728-4465 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/sifp.70005 |
| PMID | 40322940 |
| OpenAlex | W4410096335 |
| Language | EN |
| Citations received | 1 |
| References cited | 50 |
Big data and artificial intelligence (AI) have the potential to transform sexual and reproductive health (SRH), offering new avenues to enhance access, efficiency, and personalization in healthcare. AI‐driven tools can provide opportunities to improve service delivery and optimize resource allocation. Through data‐driven insights, healthcare providers can better understand population trends, predict health risks, and tailor interventions for diverse communities, ultimately advancing gender equality and empowerment. However, the integration of AI into SRH also presents significant challenges. Ethical concerns such as informed consent, data privacy, and transparency are critical to ensuring that AI applications do not violate individual autonomy and rights. The digital divide—disparities in technology access between different regions and populations—further risks exacerbating inequalities in SRH services and the provision of care. Moreover, there is a need for robust governance frameworks and global data protection laws to regulate the use of AI in SRH, and in healthcare more broadly. Programs and policies must focus on bridging these gaps, emphasizing equity and ethical considerations while leveraging AI's potential to enhance SRH services and support the vision of SRH and rights for all
Autonomy · Big data · Business · Computer security · Empowerment · Environmental health · Equity (law · Health care · Health equity · Internet privacy · Political science · Population · Public relations · Reproductive health · Transparency (behavior · Universal design · Computer Science · COVID-19 and healthcare impacts · Global Maternal and Child Health · Law · Medicine · Reproductive Health and Technologies
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |