Evidence map›Paper›PMID 35219978›Full record

ReviewAsian journal of psychiatry2022

Artificial intelligence and Psychiatry: An overview.

Adwitiya Ray, Akansha Bhardwaj, Yogender Kumar Malik, Shipra Singh, Rajiv Gupta

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Asian journal of psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 6 pooled it
15.3field-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

36 citing papers in PubMed, 6 syntheses or guidelines pooled it, 121 citations in OpenAlex.

  1. Pooled it
  2. Prediction and diagnosis of post-stroke epilepsy using artificial intelligence approaches: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  17. Artificial intelligence (AI) in psychotherapy: A challenging frontier.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 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 2 institutions in 1 country.

Adwitiya RayDepartment of Psychiatry, Institute of Mental Health, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
Akansha BhardwajDepartment of Psychiatry, Institute of Mental Health, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
Yogender Kumar MalikDepartment of Psychiatry, Institute of Mental Health, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India. Electronic address: yogendermalik187@gmail.com.
Shipra SinghDepartment of Psychiatry, Institute of Mental Health, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
Rajiv GuptaDepartment of Psychiatry, Institute of Mental Health, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences · INInstitute of Mental Health · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of mental illness both in world and India is increasing at an alarming rate. Adding to it, there has been an increase in mental health challenges during covid-19 pandemic with a rise in suicide, loneliness and substance use. Artificial intelligence can act as a potential solution to address this shortage. The use of artificial intelligence is increasingly being employed in various fields of mental health like affective disorders, psychosis, and geriatric psychiatry. The benefits are various like lower costs, wider reach but at the same time it comes with its own disadvantages. This article reviews the current understanding of artificial intelligence, the types of Artificial intelligence, its current use in various mental health disorders, current status in India, advantages, disadvantages and future potentials. With the passage of time and digitalization of the modern age, there will be an increase in the use of artificial intelligence in psychiatry hence a detailed understanding will be thoughtful. For this, we searched PubMed, Google Scholar, and Science Direct, China national Knowledge Infrastructure (CNKI), Globus Index Medicus search engines by using keywords. Initial searches involved the use of each individual keyword while the later searches involved the use of more than one word in different permutation combinations.

Indexed as

COVID-19PsychiatryAgedArtificial IntelligenceHumansPandemicsSARS-CoV-2Artificial IntelligenceArtificial WisdomBurden of mental illnessPsychiatry

Identifiers

PMID35219978
PMCPMC9760544
OpenAlexW4211152981

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.