ArticleFrontiers in global women's health2023
Understanding the impact of an AI-enabled conversational agent mobile app on users' mental health and wellbeing with a self-reported maternal event: a mixed method real-world data mHealth study.
Article in Frontiers in global women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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.
Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Does the Digital Therapeutic Alliance Exist? Integrative Review.JMIR mental health · 2025Pooled it
- A scoping review on the mental health harms of LLM-based chatbots.NPJ digital medicine · 2026Article
- Proceedings from the CIHBMC proceedings · 2026Article
- Mitigating Blue-Light Risk in Display-Based Digital Therapeutics: A Practical Framework to Support Clinical Efficacy.Journal of clinical medicine · 2026Review
- Engaging Artificial Intelligence (AI)-based chatbots in digital health: A systematic review.PLOS digital health · 2026Article
- When a chatbot asks "How are you?": A cross-sectional study of AI call conversations and depressive symptom detection among older adults in rural South Korea.BMC geriatrics · 2026Article
- AI chatbots as 'pocket doctors': intimate health support for young women in Lebanon.BMC public health · 2025Article
- Charting the evolution of artificial intelligence mental health chatbots from rule-based systems to large language models: a systematic review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025Article
- Large language models and women's health: a digital companion for informed decision-making.Archives of gynecology and obstetrics · 2025Article
- Empowering postpartum women: the role of mHealth apps in promoting mental health and obesity prevention.BMC women's health · 2025Article
- Article
- Interactive Conversational Agents for Perinatal Health: A Mixed Methods Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Persuasive chatbot-based interventions for depression: a list of recommendations for improving reporting standards.Frontiers in psychiatry · 2025Article
- The algorithmic self: how AI is reshaping human identity, introspection, and agency.Frontiers in psychology · 2025Article
- Artificial Intelligence-Powered Cognitive Behavioral Therapy Chatbots, a Systematic Review.Iranian journal of psychiatry · 2025Review
- Development and Refinement of a Chatbot for Birthing Individuals and Newborn Caregivers: Mixed Methods Study.JMIR pediatrics and parenting · 2024Article
- Considering the Role of Human Empathy in AI-Driven Therapy.JMIR mental health · 2024Article
- Role of Chatbots on Supporting Women in Perinatal Period: A Scoping Review.Women's health reports (New Rochelle, N.Y.)Article
- Evidence integration: The transformative role of artificial intelligence in maternal health.Digital healthArticle
- Artificial intelligence in maternal and child health: Current applications, translational gaps, and future research priorities.Women's health (London, England)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Maternal mental health care is variable and with limited accessibility. Artificial intelligence (AI) conversational agents (CAs) could potentially play an important role in supporting maternal mental health and wellbeing. Our study examined data from real-world users who self-reported a maternal event while engaging with a digital mental health and wellbeing AI-enabled CA app (Wysa) for emotional support. The study evaluated app effectiveness by comparing changes in self-reported depressive symptoms between a higher engaged group of users and a lower engaged group of users and derived qualitative insights into the behaviors exhibited among higher engaged maternal event users based on their conversations with the AI CA. Methods: Real-world anonymised data from users who reported going through a maternal event during their conversation with the app was analyzed. For the first objective, users who completed two PHQ-9 self-reported assessments ( Results: Results revealed a significant reduction in self-reported depressive symptoms among the higher engaged user group compared to lower engaged user group (M-W Conclusion: These findings provide preliminary evidence of the effectiveness and engagement and comfort of using this AI-based emotionally intelligent mobile app to support mental health and wellbeing across a range of maternal events and experiences.
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What OpenQuestion holds
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.