Evidence map›Paper›PMID 37335608›Full record

ArticleJournal of medical Internet research2023

Providing Self-Led Mental Health Support Through an Artificial Intelligence-Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care.

Emma L van der Schyff, Brad Ridout, Krestina L Amon, Rowena Forsyth, Andrew J Campbell

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
16.6field-weighted citation impact, top 1% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Sustainability of AI-Assisted Mental Health Intervention: A Review of the Literature from 2020-2025.International journal of environmental research and public health · 2025
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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

5 authors at 1 institution in 1 country.

Emma L van der SchyffCyberpsychology Research Group, Biomedical Informatics and Digital Health Theme, School of Medical Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0003-2110-5293
Brad RidoutCyberpsychology Research Group, Biomedical Informatics and Digital Health Theme, School of Medical Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8067-0490
Krestina L AmonCyberpsychology Research Group, Biomedical Informatics and Digital Health Theme, School of Medical Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0003-3890-4171
Rowena ForsythCyberpsychology Research Group, Biomedical Informatics and Digital Health Theme, School of Medical Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0001-5597-7263
Andrew J CampbellCyberpsychology Research Group, Biomedical Informatics and Digital Health Theme, School of Medical Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0002-2217-2589
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital mental health services are becoming increasingly valuable for addressing the global public health burden of mental ill-health. There is significant demand for scalable and effective web-based mental health services. Artificial intelligence (AI) has the potential to improve mental health through the deployment of chatbots. These chatbots can provide round-the-clock support and triage individuals who are reluctant to access traditional health care due to stigma. The aim of this viewpoint paper is to consider the feasibility of AI-powered platforms to support mental well-being. The Leora model is considered a model with the potential to provide mental health support. Leora is a conversational agent that uses AI to engage in conversations with users about their mental health and provide support for minimal-to-mild symptoms of anxiety and depression. The tool is designed to be accessible, personalized, and discreet, offering strategies for promoting well-being and acting as a web-based self-care coach. Across all AI-powered mental health services, there are several challenges in the ethical development and deployment of AI in mental health treatment, including trust and transparency, bias and health inequity, and the potential for negative consequences. To ensure the effective and ethical use of AI in mental health care, researchers must carefully consider these challenges and engage with key stakeholders to provide high-quality mental health support. Validation of the Leora platform through rigorous user testing will be the next step in ensuring the model is effective.

Indexed as

Acceptance and Commitment TherapyMental Health ServicesArtificial IntelligenceHumansMental HealthPsychological Well-BeingAIanxietychatbotsconversational agentsdeploymentdepressionmental healthmental health careself-ledstigmasupportsymptomsusersweb-basedweb-based service

Identifiers

PMID37335608
PMCPMC10337342
OpenAlexW4377084726

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.