Evidence map›Paper›PMID 41306767›Full record

Articlenpj women's health2025

Beyond no harm: Advancing research on artificial intelligence for sexual and reproductive health and rights.

Tigest Tamrat, Rohit Malpani, Sara Mengistu, Anja Kovacs, Yu Zhao, Anuj Kapilashrami, Allan Maleche, Sameer Pujari, Andreas Reis, Lale Say

Abstract readLetter
In one paragraph

Article in npj women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Tigest TamratUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Rohit MalpaniScience for Health, World Health Organization, Geneva, Switzerland.
Sara MengistuUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Anja KovacsConsultant: Research & advice on feminism, technology & the digital society, Port Luis, Mauritius.
Yu ZhaoDepartment of Data, Digital Health, Analytics and AI, World Health Organization, Geneva, Switzerland.
Anuj KapilashramiSchool of Health and Social Care, University of Essex, Essex, United Kingdom.
Allan MalecheKenya Legal and Ethical Issues Network on HIV and AIDS (KELIN), Nairobi, Kenya.
Sameer PujariDepartment of Data, Digital Health, Analytics and AI, World Health Organization, Geneva, Switzerland.
Andreas ReisScience for Health, World Health Organization, Geneva, Switzerland.
Lale SayUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Artificial intelligence (AI) is increasingly being explored to enhance access to health information and services. To guide the responsible use of AI in sexual and reproductive health and rights (SRHR) and beyond, high-quality, ethical research is essential. Drawing on a comprehensive scoping review on AI in SRHR, we present illustrative examples from published literature to underscore the need for meaningful research on the use of AI to advance SRHR.

Indexed as

Health servicesReproductive disorders

Identifiers

PMID41306767
PMCPMC12643930

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.