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

Reproductive Health, Journal Year: 2024, Volume and Issue: 21(1)

Published: Dec. 23, 2024

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, integration into national strategies. In contemporary times, medicine is progressively incorporating artificial intelligence (AI) enhance sperm cell prediction selection, in vitro fertilisation models, infertility pregnancy screening. AI being integrated five core components Sexual Reproductive Health, improving care, providing high-quality contraception eliminating unsafe abortions, as well facilitating prevention treatment sexually transmitted infections. Though can improve rights addressing disparities enhancing service delivery, AI-facilitated have ethical implications, based on existing human international conventions. Heated debates persist implementing AI, particularly maternal health, sexual, discussion centers a torn between touch machine-driven care. spite this other challenges, AI's application crucial, developing countries, especially those that are yet explore healthcare. Action plans needed roll out use these areas effectively, capacity building workers essential achieve Goals' 3.7. This commentary discusses innovations meeting target SDGs with focus highlights need more circumspective approach response implications using services.

Language: Английский

Healthcare Social Robots in the Age of Generative AI: Protocol for a Scoping Review (Preprint)

JMIR Research Protocols, Journal Year: 2024, Volume and Issue: 14, P. e63017 - e63017

Published: Dec. 24, 2024

Social robots (SR), sensorimotor machines designed to interact with humans, can help respond the increasing demands in health care sector. To ensure successful use of this technology, acceptance is paramount. Generative artificial intelligence (AI) an emerging technology potential enhance functionality SR and promote user by further improving human-robot interaction. We present a protocol for scoping review literature on implementation generative AI The aim map out intersection sector; explore if applied outline which models are used these implementations; whether reported as outcome following implementations. This supports future research providing overview state connectedness 2 technologies mapping gaps. follow methodological framework developed Arksey O'Malley recommendations Joanna Briggs Institute. Our was drafted using PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-analyses extension Scoping Reviews). will conduct systematic search online databases MEDLINE, Embase, CINAHL (Cumulative Index Nursing Allied Health Literature), Web Science, IEEE Xplore, aiming retrieve relevant data items via tabular charting from references meeting specific inclusion criteria studies published 2010 onwards, set sector, focusing physical bodies implemented AI. There no restrictions study types. Results be categorized, clustered, summarized tables, graphs, visual representations, narratives. After conducting preliminary deduplication second quarter 2024, we retrieved 3176 results. supplemented next steps, including retrieving results reference management tool well screening titles, abstracts, full text regarding criteria. completion steps scheduled 2025. Limitations based heterogeneity included general breadth compared expected. reduce bias, adopted system dual reviews thorough documentation selection. conducted implies that there sufficient number heterogeneous complete review. our knowledge, first SR. PRR1-10.2196/63017.

Language: Английский