ArticleJournal of medical Internet research2022
An Artificial Intelligence Chatbot for Young People's Sexual and Reproductive Health in India (SnehAI): Instrumental Case Study.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06307002 (Evaluating the Impact of a Contraception Education Game), which is not on this map. Cited by 38 papers, 2 of them syntheses that pooled 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.
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.
Evaluating the Impact of a Contraception Education Game: What's My Method? on Contraceptive Self-efficacy and Clinical Outcomes in Barbados
Who cites it
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Chatbots That Deliver Contraceptive Support: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Interventions aiming to improve menstrual, sexual, reproductive, and mental health among out-of-school girls: a systematic review.Frontiers in public health · 2024Pooled it
- User acceptability and perceived impact of a mobile interactive education and support group intervention to improve postnatal health care in northern India: a qualitative study.BMC medical informatics and decision making · 2025Trial
- Dating Applications as HIV Prevention Ecosystems in the Era of Digital Sexual Networks.Infectious disease reports · 2026Article
- Dual-Source Retrieval-Augmented Generation Chatbot for Women's Health (HerCare): Design and Multimethod Evaluation Study.JMIR formative research · 2026Article
- Design, Development, and Evaluation of Multimodal Conversational Agents for Health Data Registration and Monitoring: Framework Proposal and Pilot Exploratory Study.Healthcare (Basel, Switzerland) · 2026Article
- Understanding User Intent in Code-Mixed Sexual and Reproductive Health Queries in Urban India: Hierarchical Classification Approach Using Large Language Models.Journal of medical Internet research · 2026Article
- Usability of the "Be Yourself" IA-powered, chatbot-based website for the prevention of adolescent pregnancy.Investigacion y educacion en enfermeria · 2026Article
- Chatbots as frontline educators in sexual reproductive health rights: evidence, limitations, and ethical considerations.Frontiers in digital health · 2026Article
- The development and use of chatbots in enhancing health care access for underserved and vulnerable populations: a scoping review.BMC public health · 2025Article
- Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA.Journal of medical Internet research · 2025Article
- Evaluation of artificial intelligence (AI) chatbots for providing sexual health information: a consensus study using real-world clinical queries.BMC public health · 2025Article
- Parental and Artificial Intelligence Perspectives on Adolescent Sexting: A Comparative Analysis.Archives of sexual behavior · 2025Article
- The Present and Future of Adult Entertainment: A Content Analysis of AI-Generated Pornography Websites.Archives of sexual behavior · 2025Article
- The Impact of Chatbot Response Strategies and Emojis Usage on Customers' Purchase Intention: The Mediating Roles of Psychological Distance and Performance Expectancy.Behavioral sciences (Basel, Switzerland) · 2025Article
- [Systematic review of teen pregnancy prevention programs using websites and chatbotsProgramas de prevenção de gravidez na adolescência com base em sites e chatbots: revisão sistemática].Revista panamericana de salud publica = Pan American journal of public health · 2025Article
- The use of artificial intelligence in sexual and reproductive health: a comprehensive scoping review.npj women's health · 2025Article
- Educational technologies to promote the sexual and reproductive health of women with HIV: an integrative review.Revista brasileira de enfermagem · 2025Review
- Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7.Reproductive health · 2024Article
- The Intersection of Artificial Intelligence, Wearable Devices, and Sexual Medicine.Current urology reports · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLeveraging artificial intelligence (AI)-driven apps for health education and promotion can help in the accomplishment of several United Nations sustainable development goals. SnehAI, developed by the Population Foundation of India, is the first Hinglish (Hindi + English) AI chatbot, deliberately designed for social and behavioral changes in India. It provides a private, nonjudgmental, and safe space to spur conversations about taboo topics (such as safe sex and family planning) and offers accurate, relatable, and trustworthy information and resources.
objectiveThis study aims to use the Gibson theory of affordances to examine SnehAI and offer scholarly guidance on how AI chatbots can be used to educate adolescents and young adults, promote sexual and reproductive health, and advocate for the health entitlements of women and girls in India.
methodsWe adopted an instrumental case study approach that allowed us to explore SnehAI from the perspectives of technology design, program implementation, and user engagement. We also used a mix of qualitative insights and quantitative analytics data to triangulate our findings.
resultsSnehAI demonstrated strong evidence across fifteen functional affordances: accessibility, multimodality, nonlinearity, compellability, queriosity, editability, visibility, interactivity, customizability, trackability, scalability, glocalizability, inclusivity, connectivity, and actionability. SnehAI also effectively engaged its users, especially young men, with 8.2 million messages exchanged across a 5-month period. Almost half of the incoming user messages were texts of deeply personal questions and concerns about sexual and reproductive health, as well as allied topics. Overall, SnehAI successfully presented itself as a trusted friend and mentor; the curated content was both entertaining and educational, and the natural language processing system worked effectively to personalize the chatbot response and optimize user experience.
conclusionsSnehAI represents an innovative, engaging, and educational intervention that enables vulnerable and hard-to-reach population groups to talk and learn about sensitive and important issues. SnehAI is a powerful testimonial of the vital potential that lies in AI technologies for social good.
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Registered trials
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.