Evidence map›Paper›PMID 42558099›Full record

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.

Yee Hui Yeo, Allistair Clark, Muskaan Mehra, Itai Danovitch, Karen Osilla, Ju Dong Yang, Alexander Kuo, Hyun-Seok Kim, Aarshi Vipani, Yun Wang and 7 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

17 authors.

Yee Hui YeoDepartment of Medicine, Cedars-Sinai Medical Center, Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California, USA.
Allistair ClarkDepartment of Medicine, Cedars-Sinai Medical Center, Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California, USA.ORCID https://orcid.org/0009-0002-9326-7523
Muskaan MehraDepartment of Medicine, Cedars-Sinai Medical Center, Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California, USA.ORCID https://orcid.org/0009-0003-7807-1888
Itai DanovitchDepartment of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Karen OsillaDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California, USA.
Ju Dong YangKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Alexander KuoKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Hyun-Seok KimKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Aarshi VipaniKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Yun WangKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Walid AyoubKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Hirsh TrivediKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Jamil S SamaanDepartment of Medicine, Cedars-Sinai Medical Center, Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California, USA.
Tiffany WuDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Vijay H ShahDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Omer LiranDepartment of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Brennan SpiegelDepartment of Medicine, Cedars-Sinai Medical Center, Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-4608-6896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

accessibilityimmersive environmentmotivational interviewingnonjudgmentalthematic analysis

Identifiers

PMID42558099
PMCPMC13387230

What Socratic 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 Socratic graph.