Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications
Pablo Cruz-Gonzalez,
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Anxun He,
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Eva K. M. Lam
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et al.
Psychological Medicine,
Journal Year:
2025,
Volume and Issue:
55
Published: Jan. 1, 2025
Abstract
Artificial
intelligence
(AI)
has
been
recently
applied
to
different
mental
health
illnesses
and
healthcare
domains.
This
systematic
review
presents
the
application
of
AI
in
domains
diagnosis,
monitoring,
intervention.
A
database
search
(CCTR,
CINAHL,
PsycINFO,
PubMed,
Scopus)
was
conducted
from
inception
February
2024,
a
total
85
relevant
studies
were
included
according
preestablished
inclusion
criteria.
The
methods
most
frequently
used
support
vector
machine
random
forest
for
learning
chatbot
tools
appeared
be
accurate
detecting,
classifying,
predicting
risk
conditions
as
well
treatment
response
monitoring
ongoing
prognosis
disorders.
Future
directions
should
focus
on
developing
more
diverse
robust
datasets
enhancing
transparency
interpretability
models
improve
clinical
practice.
Language: Английский
Emotional growth mindsets and stress controllability buffer the link between stress intensity and anxiety symptoms: An ecological momentary assessment study
Journal of Anxiety Disorders,
Journal Year:
2025,
Volume and Issue:
110, P. 102983 - 102983
Published: Feb. 1, 2025
Language: Английский
Development of a machine learning-based multivariable prediction model for the naturalistic course of generalized anxiety disorder
Journal of Anxiety Disorders,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102978 - 102978
Published: Jan. 1, 2025
Language: Английский
Work-Related Cognitive Behavioral Therapy for racially and economically diverse unemployed persons with social anxiety: A randomized clinical trial
Journal of Anxiety Disorders,
Journal Year:
2024,
Volume and Issue:
104, P. 102875 - 102875
Published: May 16, 2024
Language: Английский
Self-Guided Mindfulness Reduces College Student Anxiety: A Scalable, Preregistered Pilot Study
Mindfulness,
Journal Year:
2024,
Volume and Issue:
15(6), P. 1362 - 1374
Published: May 25, 2024
Language: Английский
Scaling Up Psychological Interventions Into the Daily Lives of Patients with Anxiety and Related Disorders
Journal of Anxiety Disorders,
Journal Year:
2024,
Volume and Issue:
106, P. 102916 - 102916
Published: Aug. 1, 2024
Language: Английский
Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data (Preprint)
JMIR Mental Health,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 5, 2024
Language: Английский
Treatment as a moderator and executive function as a mediator of the effect of a mindfulness ecological momentary intervention for generalized anxiety disorder
Psychological Medicine,
Journal Year:
2024,
Volume and Issue:
54(13), P. 3715 - 3728
Published: Oct. 1, 2024
Abstract
Background
Theory
and
research
indicated
that
executive
functioning
(EF)
correlated
with,
preceded,
stemmed
from
worry
in
generalized
anxiety
disorder
(GAD).
The
present
secondary
analysis
(Zainal
&
Newman,
2023b)
thus
determined
whether
EF
domains
mediated
the
effect
of
a
14-day
(5
prompts/day)
mindfulness
ecological
momentary
intervention
(MEMI)
against
self-monitoring
control
(SM)
for
GAD.
Method
Participants
(
N
=
110)
diagnosed
with
GAD
completed
self-reported
(Attentional
Control
Scale,
Questionnaire,
Perseverative
Cognitions
Questionnaire)
performance-based
tests
(Letter-Number
Sequencing,
Stroop,
Trail
Making
Test-B,
Verbal
Fluency)
at
baseline,
post-treatment,
one-month
follow-up
(1MFU).
Causal
mediation
analyses
if
pre-post
changes
preceded
MEMI
SM
on
pre-1MFU
severity
trait
repetitive
negative
thinking
(RNT).
Results
was
more
efficacious
than
improving
pre–post
inhibition
β
−2.075,
95%
[−3.388,
−0.762],
p
.002),
working
memory
0.512,
[0.012,
1.011],
.045),
set-shifting
−2.916,
[−5.142,
−0.691],
.010)
but
not
verbal
fluency
attentional
control.
Within
groups,
produced
improvements
all
examined
outcomes
except
Only
reductions
−0.605,
[−1.357,
−0.044],
.030;
proportion
7.1%)
RNT
−0.024,
[−0.054,
−0.001],
.040;
7.4%).
These
patterns
remained
after
conducting
sensitivity
non-linear
mediator-outcome
relations.
Conclusions
Optimizing
might
entail
specifically
boosting
plausibly
by
augmenting
it
dialectical
behavioral
therapy,
encouraging
high-intensity
physical
exercises,
targeting
emotional
contrast
avoidance.
Language: Английский