ArticleJournal of medical extended reality2024
The Feasibility and Usability of an Artificial Intelligence-Enabled Conversational Agent in Virtual Reality for Patients with Alcohol-Associated Cirrhosis: A Multi-Methods Study.
Article in Journal of medical extended reality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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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.
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Who cites it
3 citing papers in PubMed.
- Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study.JMIR formative research · 2026Article
- New Doc on the Block: Scoping Review of AI Systems Delivering Motivational Interviewing for Health Behavior Change.Journal of medical Internet research · 2025Article
- American Medical Extended Reality Association Expert Consensus: Best Practices for Patient and Public Involvement in Medical Extended Reality Research.Journal of medical extended reality · 2025Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background & Aims: Patients with alcohol-associated cirrhosis often lack access to effective interventions to prevent drinking. We assessed the feasibility and usability of an artificial intelligence (AI)-enabled conversational agent in virtual reality to deliver self-administered mental health support. Methods: Our multidisciplinary team combined spatial computing and AI to deliver an immersive form of cognitive behavioral therapy and motivational interviewing using established relapse prevention protocols. Participants engaged with the program privately for 30 min, followed by a semistructured interview. Usability was measured with the intervention usability scale (IUS). Thematic content analysis of interviews was conducted to extract themes and insights. Results: Of 20 participants, 50% reported active alcohol use. The median Model for End-Stage Liver Disease 3.0 score was 22. All participants used the full 30 min of psychotherapy; no severe adverse events were reported. The IUS score was acceptable (≥75) in 78% of participants. Thematic analysis distilled 509 first-level codes into nine overarching themes. The program quickly established rapport, providing positive reinforcement and actionable goals perceived as nonjudgmental. About 80% felt themselves open up to the avatar; 85% reported the experience as beneficial and noted belief in potential efficacy. Many endorsed the privacy, accessibility, and immersion of the program. While a minority preferred human therapists and noted shortcomings in the program, 90% expressed interest in further use. Conclusions: Combining spatial computing and AI is perceived to be a safe, acceptable, easy-to-use, nonjudgmental, and immersive form of self-administered psychotherapy among patients with alcohol-associated cirrhosis. Studies to examine the impact on cessation are needed.
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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 Socratic graph.