Evidence map›Paper›PMID 35285812›Full record

ArticleJournal of medical Internet research2022

Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review.

Victoria Welch, Tom Joshua Wy, Anna Ligezka, Leslie C Hassett, Paul E Croarkin, Arjun P Athreya, Magdalena Romanowicz

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
12.5field-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

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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  3. AI Quality Standards in Health Care: Rapid Umbrella Review.Journal of medical Internet research · 2024
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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

7 authors at 2 institutions in 1 country.

Victoria WelchDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-4156-5780
Tom Joshua WyDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-3649-8651
Anna LigezkaDepartment of Clinical Genomics, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-5183-3086
Leslie C HassettMayo Clinic Libraries, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-1889-8387
Paul E CroarkinDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-6843-6503
Arjun P AthreyaDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-9764-1768
Magdalena RomanowiczDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-4916-0625
Mayo Clinic · USMayo Clinic in Florida · US

Funding

Glutamatergic and GABAergic Biomarkers in rTMS for Adolescent DepressionR01MH113700 · NIMH · MAYO CLINIC ROCHESTER · PI CROARKIN, PAUL E · 2017 to 2021
$2.5M
A Randomized Controlled Trial of Sequential Bilateral Accelerated Theta Burst Stimulation in Adolescents with Suicidal Ideation Associated with Major Depressive DisorderR01MH124655 · NIMH · MAYO CLINIC ROCHESTER · PI CROARKIN, PAUL E · 2020 to 2023
$2.4M
NIMH NIH HHS R01 MH113700NIMH NIH HHS R01 MH124655
6 · The paper itself

Abstract

backgroundMental health disorders are a leading cause of medical disabilities across an individual's lifespan. This burden is particularly substantial in children and adolescents because of challenges in diagnosis and the lack of precision medicine approaches. However, the widespread adoption of wearable devices (eg, smart watches) that are conducive for artificial intelligence applications to remotely diagnose and manage psychiatric disorders in children and adolescents is promising.

objectiveThis study aims to conduct a scoping review to study, characterize, and identify areas of innovations with wearable devices that can augment current in-person physician assessments to individualize diagnosis and management of psychiatric disorders in child and adolescent psychiatry.

methodsThis scoping review used information from the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A comprehensive search of several databases from 2011 to June 25, 2021, limited to the English language and excluding animal studies, was conducted. The databases included Ovid MEDLINE and Epub ahead of print, in-process and other nonindexed citations, and daily; Ovid Embase; Ovid Cochrane Central Register of Controlled Trials; Ovid Cochrane Database of Systematic Reviews; Web of Science; and Scopus.

resultsThe initial search yielded 344 articles, from which 19 (5.5%) articles were left on the final source list for this scoping review. Articles were divided into three main groups as follows: studies with the main focus on autism spectrum disorder, attention-deficit/hyperactivity disorder, and internalizing disorders such as anxiety disorders. Most of the studies used either cardio-fitness chest straps with electrocardiogram sensors or wrist-worn biosensors, such as watches by Fitbit. Both allowed passive data collection of the physiological signals.

conclusionsOur scoping review found a large heterogeneity of methods and findings in artificial intelligence studies in child psychiatry. Overall, the largest gap identified in this scoping review is the lack of randomized controlled trials, as most studies available were pilot studies and feasibility trials.

Indexed as

Autism Spectrum DisorderWearable Electronic DevicesAdolescentAdolescent PsychiatryArtificial IntelligenceChild PsychiatryHumansartificial intelligencechild psychiatrymobile computingwearable technologies

Identifiers

PMID35285812
PMCPMC8961347
OpenAlexW4221063445

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.