Evidence map›Paper›PMID 35212940›Full record

ReviewThe Psychiatric quarterly2022

Artificial Intelligence and Chatbots in Psychiatry.

Kay T Pham, Amir Nabizadeh, Salih Selek

Open access · bronzeAbstract readReview
In one paragraph

Review in The Psychiatric quarterly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
31.9field-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

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 228 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. The benefits and future potential of generative artificial intelligence (GAI) on mental health: a Delphi study.International journal of qualitative studies on health and well-being · 2026
    Article
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  16. Artificial intelligence (AI) in psychotherapy: A challenging frontier.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2025
    Article
  17. Review
  18. Review
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Kay T PhamDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School at UTHealth, 6431 Fannin St, 77030, Houston, TX, USA. Kay.T.Pham@uth.tmc.edu.ORCID 0000-0003-1758-0657
Amir NabizadehDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School at UTHealth, 6431 Fannin St, 77030, Houston, TX, USA.ORCID 0000-0002-1131-5716
Salih SelekDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School at UTHealth, 6431 Fannin St, 77030, Houston, TX, USA.ORCID 0000-0001-5197-5682
The University of Texas Health Science Center at Houston · USThe University of Texas Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of artificial intelligence (AI) in psychiatry has risen over the past several years to meet the growing need for improved access to mental health solutions. Additionally, shortages of mental health providers during the COVID-19 pandemic have continued to exacerbate the burden of mental illness worldwide. AI applications already in existence include those enabled to assist with psychiatric diagnoses, symptom tracking, disease course prediction, and psychoeducation. Modalities of AI mental health care delivery include availability through the internet, smartphone applications, and digital gaming. Here we review emerging AI-based interventions in the form of chat and therapy bots, specifically conversational applications that teach the user emotional coping mechanisms and provide support for people with communication difficulties, computer generated images of faces that form the basis of avatar therapy, and intelligent animal-like robots with new advances in digital psychiatry. We discuss the implications of incorporating AI chatbots into clinical practice and offer perspectives on how these AI-based interventions will further impact the field of psychiatry.

Indexed as

COVID-19PsychiatryArtificial IntelligenceHumansMental HealthPandemicsArtificial intelligenceChatbotDigital psychiatryDigital therapyTherapy bots

Identifiers

PMID35212940
PMCPMC8873348
OpenAlexW4214606152

What OpenQuestion holds

Textmetadata
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.