World Journal of Psychiatry,
Journal Year:
2024,
Volume and Issue:
14(3), P. 467 - 483
Published: March 19, 2024
BACKGROUND
Depression
has
gradually
become
a
common
psychological
disorder
among
children
and
adolescents.
in
adolescents
affects
their
physical
mental
development.
Psychotherapy
is
considered
to
be
one
of
the
main
treatment
options
for
depressed
However,
our
understanding
global
performance
progress
interventions
depression
(PIDCA)
research
limited.
AIM
To
identify
collaborative
networks
this
field
explore
current
status
hotspots
through
bibliometrics.
METHODS
Articles
reviews
related
PIDCA
from
January
2010
April
2023
were
identified
Web
Science
Core
Collection
database.
The
Charticulator
website,
CiteSpace
VOSviewer
software
used
visualize
trends
publications
citations,
(countries,
institutions,
authors),
hotspots.
RESULTS
Until
16,
2023,
1482
identified.
number
documents
published
each
year
citations
had
increased
rapidly
field.
United
States
highest
productivity
most
prolific
institution
was
University
London.
Pim
Cuijpers
author.
In
context
PIDCA,
both
reference
co-citation
analysis
keywords
co-occurrence
10
hotspots,
including
third-wave
cognitive
behavior
therapy,
short-term
psychoanalytic
psychotherapy,
behavioral
system
family
element
modular
treatment,
mobile-health,
emotion-regulation-based
transdiagnostic
intervention
program,
dementia
risk
later
life,
predictors
efficacy
intervention,
risks
intervention.
CONCLUSION
This
bibliometric
study
provides
comprehensive
overview
present.
Psychological
characterized
as
psychological-process-focused,
short,
family-involved,
modular,
internet-based,
emotion-regulation-based,
personalized
may
benefit
more
young
people.
Frontiers in Psychology,
Journal Year:
2024,
Volume and Issue:
15
Published: March 22, 2024
Aspects
of
hypnosis
and
its
application
in
psychotherapy,
psychosomatics
medicine
are
examined
contextualized
the
250-year
history
hypnosis.
Imagination
as
an
essential
element
hypnotic
treatments
appeared
early
1784
argument
rejecting
theory
animal
magnetism
Franz
Anton
Mesmer.
In
somnambulism
German
romanticism,
another
proto-form
after
1800,
concepts
mind–body
problem
were
dealt
with,
which
still
characterize
understanding
unconscious
mental
processes
today.
Hypnosis
was
at
beginning
psychoanalysis,
but
not
pursued
further
by
Sigmund
Freud
from
1900
onwards.
Nevertheless,
there
some
hypnoanalytical
approaches
20th
century,
well
attempts
to
integrate
into
behavior
therapy.
Techniques
imagination
relaxation
combine
both;
particular
findings
cognitive
psychology
explain
both
behavioral
The
influence
social
brought
a
new
perspective
debate
about
nature
hypnosis,
continues
this
day:
is
be
understood
special
state
consciousness
or
it
completely
normal,
mundane
interaction?
experiments
that
carried
out
support
one
side
other
also
dependent
on
hypnotizability
subjects
involved,
more
difficult
phenomena
such
paralysis,
hallucinations
identity
delusions
can
only
demonstrated
highly
hypnotizable
subjects.
fact
these
mere
compliance
reactions
has
now
been
proven
many
studies
using
imaging
techniques.
But
even
those
who
moderately
benefit
rituals.
Variables
postulated
socio-cognitive
researchers,
motivation
expectation,
relevant,
good
“hypnotic
rapport.”
Practical
hypnotherapy
today
characterized
innovative
techniques
strategies
developed
Milton
H.
Erickson.
Research
effectiveness
field
psychotherapy
leaves
much
done.
situation
different
medical
where
considerably
with
satisfactory
design
verifiable
effects.
However,
impact
practical
everyday
practice
low.
Newer
developments
virtual
reality
artificial
intelligence
being
looked
critical
interest.
Proceedings of the ACM on Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
8(CSCW1), P. 1 - 28
Published: April 17, 2024
Despite
repeated
reports
of
socially
inappropriate
and
dangerous
chatbot
behaviour,
chatbots
are
increasingly
used
as
mental
health
services
in
providing
support
for
young
people.
In
sensitive
settings
such,
the
notion
perceived
moral
agency
(PMA)
is
crucial,
given
its
critical
role
human-human
interactions.
this
paper,
we
investigate
PMA
human-chatbot
Specifically,
seek
to
understand
how
influence
perception
trust,
likeability,
safety
across
two
distinct
age
groups.
We
conduct
an
online
experiment(N
=
279)to
evaluate
with
low
high
targeted
towards
teenagers
adults.
Our
results
indicate
increased
displaying
PMA.
A
qualitative
analysis
revealed
four
themes,
assessing
participants'
expectations
general,
well
teenagers:
Anthropomorphism,
Warmth,
Sensitivity,
Appearance
manifestation.
show
that
plays
a
crucial
influencing
perceptions
provide
recommendations
designing
appropriate
chatbots.
Frontiers in Psychology,
Journal Year:
2024,
Volume and Issue:
15
Published: Feb. 2, 2024
Background
Social
intelligence
(SI)
is
of
great
importance
in
the
success
counseling
and
psychotherapy,
whether
for
psychologist
or
artificial
systems
that
help
psychologist,
as
it
ability
to
understand
feelings,
emotions,
needs
people
during
process.
Therefore,
this
study
aims
identify
Intelligence
represented
by
its
large
linguistic
models,
“ChatGPT;
Google
Bard;
Bing”
compared
psychologists.
Methods
A
stratified
random
manner
sample
180
students
psychology
from
bachelor’s
doctoral
stages
at
King
Khalid
University
was
selected,
while
models
included
ChatGPT-4,
Bard,
Bing.
They
(the
psychologists
AI
models)
responded
social
scale.
Results
There
were
significant
differences
SI
between
AI’s
ChatGPT-4
exceeded
100%
all
psychologists,
Bing
outperformed
50%
PhD
holders
90%
holders.
The
Bard
bachelor
not
significant,
whereas
with
PhDs
significant;
Where
excel
on
Bird.
Conclusion
We
explored
possibility
using
human
measures
entities,
especially
language
results
indicate
development
understanding
emotions
behavior
related
very
rapid.
will
psychotherapist
a
deal
new
ways.
be
aware
possible
areas
further
given
their
benefits
psychotherapy.
Studies
humanistic
non-humanistic
criteria
are
needed.
Journal of Contemporary Psychotherapy,
Journal Year:
2024,
Volume and Issue:
54(3), P. 209 - 215
Published: April 9, 2024
Abstract
There
is
a
mental
health
crisis
in
the
United
States
that
shows
no
signs
of
abating.
Prevalence
rates
disorders
among
both
adults
and
children
are
rising
there
simply
not
enough
professionals
to
meet
growing
demand.
To
address
this
problem,
digital
programs
being
designed
diagnose
treat
conditions
either
adjunctively
human
clinician
or
as
stand-alone
treatments.
Such
developments
hold
great
promise
ameliorating
professional
supply
shortage.
However,
certain
limitations
may
prevent
many
users
from
desiring
psychotherapist.
This
paper
surveys
promise,
limitations,
psychotherapies.
World Journal of Psychiatry,
Journal Year:
2024,
Volume and Issue:
14(3), P. 334 - 341
Published: March 19, 2024
The
problematic
use
of
social
media
has
numerous
negative
impacts
on
individuals'
daily
lives,
interpersonal
relationships,
physical
and
mental
health,
more.
Currently,
there
are
few
methods
tools
to
alleviate
media,
their
potential
is
yet
be
fully
realized.
Emerging
large
language
models
(LLMs)
becoming
increasingly
popular
for
providing
information
assistance
people
being
applied
in
many
aspects
life.
In
mitigating
use,
LLMs
such
as
ChatGPT
can
play
a
positive
role
by
serving
conversational
partners
outlets
users,
personalized
resources,
monitoring
intervening
this
process,
we
should
recognize
both
the
enormous
endless
possibilities
ChatGPT,
leveraging
advantages
better
address
while
also
acknowledging
limitations
pitfalls
technology,
errors,
issue
resolution,
privacy
security
concerns,
overreliance.
When
leverage
issues
usage,
must
adopt
cautious
ethical
approach,
vigilant
adverse
effects
that
may
have
addressing
harness
technology
serve
individuals
society.
Frontiers in Psychology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 20, 2025
Background
The
rise
of
artificial
intelligence
(AI)
is
promising
novel
contributions
to
treatment
and
prevention
mental
ill
health.
While
research
on
the
use
conversational
embodied
AI
in
psychotherapy
practice
developing
rapidly,
it
leaves
gaps
understanding
impact
that
creative
might
have
art
specifically.
A
constructive
dialogue
between
disciplines
needed,
establish
potential
relevance
AI-bases
technologies
therapeutic
involving
artmaking
self-expression.
Methods
This
integrative
review
set
out
explore
whether
how
could
enhance
other
psychological
interventions
utilizing
visual
communication
and/or
artmaking.
transdisciplinary
search
strategy
was
developed
capture
latest
across
diverse
methodologies
stages
development,
including
reviews,
opinion
papers,
prototype
development
empirical
studies.
Findings
Of
over
550
records
screened,
10
papers
were
included
this
review.
Their
key
characteristics
are
mapped
a
matrix
stakeholder
groups
involved,
elements
belonging
therapy
domain,
types
AI-based
involved.
Themes
significance
for
AT
discussed,
cultural
adaptability,
inclusivity
accessibility,
creativity
self-expression,
unpredictability
imperfection.
positioning
diagram
proposed
describe
role
AT.
AI’s
process
oscillates
spectrum
from
being
partner
co-creative
taking
curator
personalized
visuals
with
intent.
Another
dimension
indicates
level
autonomy
–
supportive
tool
an
autonomous
agent.
Examples
each
these
situations
identified
reviewed
literature.
Conclusion
brings
opportunities
new
modes
self-expression
extended
reach
therapy,
over-reliance
presents
risks
process,
loss
agency
clients
therapists.
Implications
technology
relationship
demand
further
investigation,
as
do
its
impacts,
before
can
be
confirmed.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 7, 2024
Abstract
Background
and
Objective
Depression
is
a
substantial
public
health
issue,
with
global
ramifications.
While
initial
literature
reviews
explored
the
intersection
between
artificial
intelligence
(AI)
mental
health,
they
have
not
yet
critically
assessed
specific
contributions
of
Large
Language
Models
(LLMs)
in
this
domain.
The
objective
systematic
review
was
to
examine
usefulness
LLMs
diagnosing
managing
depression,
as
well
investigate
their
incorporation
into
clinical
practice.
Methods
This
based
on
thorough
search
PubMed,
Embase,
Web
Science,
Scopus
databases
for
period
January
2018
through
March
2024.
used
PROSPERO
adhered
PRISMA
guidelines.
Original
research
articles,
preprints,
conference
papers
were
included,
while
non-English
non-research
publications
excluded.
Data
extraction
standardized,
risk
bias
evaluated
using
ROBINS-I,
QUADAS-2,
PROBAST
tools.
Results
Our
included
34
studies
that
focused
application
detecting
classifying
depression
data
social
media
texts.
such
RoBERTa
BERT
demonstrated
high
effectiveness,
particularly
early
detection
symptom
classification.
Nevertheless,
integration
practice
its
nascent
stage,
ongoing
concerns
about
privacy
ethical
implications.
Conclusion
exhibit
significant
potential
transforming
strategies
treating
depression.
Nonetheless,
full
requires
rigorous
testing,
considerations,
enhanced
measures
ensure
safe
effective
use.
A
visual
abstract
Frontiers in Psychology,
Journal Year:
2024,
Volume and Issue:
15
Published: Aug. 2, 2024
During
the
war
time
dysregulation
of
negative
emotions
such
as
fear,
anger,
hatred,
frustration,
sadness,
humiliation,
and
hopelessness
can
overrule
normal
societal
values,
culture,
endanger
global
peace
security,
mental
health
in
affected
societies.
Therefore,
it
is
understandable
that
range
power
may
play
important
roles
consideration
human
behavior
any
armed
conflict.
The
estimation
assessment
dominant
during
are
crucial
but
challenged
by
complexity
emotions'
neuro-psycho-physiology.
Currently
available
natural
language
processing
(NLP)
tools
have
comprehensive
computational
methods
to
analyze
understand
emotional
content
related
textual
data
war-inflicted
Innovative
AI-driven
technologies
incorporating
machine
learning,
neuro-linguistic
programming,
cloud
infrastructure,
novel
digital
therapeutic
applications
present
an
immense
potential
enhance
care
worldwide.
This
advancement
could
make
services
more
cost-effective
readily
accessible.
Due
inadequate
number
psychiatrists
limited
psychiatric
resources
coping
with
consequences
traumas,
new
wearable
devices
supported
AI
means
might
be
promising
approach
psychiatry
future.
Transformation
maps
undertaken
simultaneous
combination
online
cognitive
behavioral
therapy
(CBT)
on
individual
level,
well
usage
emotionally
based
strategic
communications
(EBSC)
a
public
level.
proposed
positive
transformation
CBT
EBSC
provide
leverage
efforts
protect
civil
population
AI-based
applied
design
stimuli,
like
Open
Chat
GPT
or
Google
Gemini
great
significantly
understanding
semantic
linguistic
analysis
text
datasets
war-traumatized
society.
Human
loop
enhanced
aid
development
annotated
messages
resonate
among
targeted
population,
amplifying
impact
shaping
into
EBCS.
Journal of Psychosocial Nursing and Mental Health Services,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 12
Published: Feb. 24, 2025
Purpose
To
map
out
the
current
artificial
intelligence
(AI)–informed
psychosocial
interventions
research
landscape,
with
a
focus
on
main
themes,
trends,
and
prospective
future
directions.
Method
A
bibliometric
analysis
extracted
articles
that
had
been
published
between
2007
2024
from
Web
of
Science
database.
Software
used
to
process
results
were
Bibliometrix
VOSviewer.
Results
total
207
by
86
different
sources
obtained.
publication
high
recurrence
source
was
Journal
Medical
Internet
Research
.
The
United
States
showed
activity
in
link
strength,
volume
articles,
citation
frequency.
Key
themes
identified
machine
learning
,
mental
health
cognitive-behavioral
therapy
personalization
Emerging
trends
since
2020
show
growing
interest
ChatGPT
AI–driven
therapy.
Conclusion
Bibliometric
suggests
increased
application
AI
health.
Integrating
existing
therapies
development
novel
digital
tools
indicate
for
care
is
personalized
innovative.
advent
advanced
language
models,
such
as
ChatGPT,
has
opened
new
horizons
AI–supported
care.
This
preliminary
provides
foundational
understanding
landscape
while
identifying
key
areas
further
research.
[
Psychosocial
Nursing
Mental
Health
Services,
xx
(xx),
xx–xx.]
Frontiers in Psychiatry,
Journal Year:
2025,
Volume and Issue:
16
Published: April 7, 2025
The
current
development
of
artificial
intelligences
(AI)
is
leading
to
major
transformations
within
society.
In
this
context,
we
observe
how
some
these
AIs
are
spontaneously
used
by
individuals
as
confidants,
and
even
romantic
partners.
emergence
such
relationships
with
raises
questions
about
their
integration
in
psychiatry
the
possibility
developing
"digital
therapists".
regard,
highlight
four
key
elements
(accessibility
availability;
confidentiality;
knowledge;
memory)
compare
what
an
AI
offers
comparison
a
human
therapist.
We
also
discuss
results
studies
that
have
already
investigated
use
psychotherapy,
particularly
fields
depression
anxiety.
then
propose
reflect
more
specifically
on
creating
"psychoanalyst.AI,"
which
leads
us
examine
therapeutic
relationship
(transference,
free
association,
play,
dreams,
reflexivity,
narrativity)
AI.
conclusion,
offer
reflections
relevance
considering
"therapeutic
artifact,"
while
taking
into
account
ethical
issues
raised
settings.