Conversational AI in Pediatric Mental Health: A Narrative Review
Children,
Год журнала:
2025,
Номер
12(3), С. 359 - 359
Опубликована: Март 14, 2025
Background/Objectives:
Mental
health
disorders
among
children
and
adolescents
represent
a
significant
global
challenge,
with
approximately
50%
of
conditions
emerging
before
age
14.
Despite
substantial
investment
in
services,
persistent
barriers
such
as
provider
shortages,
stigma,
accessibility
issues
continue
to
limit
effective
care
delivery.
This
narrative
review
examines
the
application
conversational
artificial
intelligence
(AI)
pediatric
mental
contexts,
mapping
current
evidence
base,
identifying
therapeutic
mechanisms,
exploring
unique
developmental
considerations
required
for
implementation.
Methods:
We
searched
multiple
electronic
databases
(PubMed/MEDLINE,
PsycINFO,
ACM
Digital
Library,
IEEE
Xplore,
Scopus)
literature
published
between
January
2010
February
2025
that
addressed
AI
applications
relevant
health.
employed
synthesis
approach
thematic
analysis
organize
findings
across
technological
approaches,
applications,
considerations,
implementation
ethical
frameworks.
Results:
The
identified
promising
health,
particularly
common
like
anxiety
depression,
psychoeducation,
skills
practice,
bridging
traditional
care.
However,
most
robust
empirical
research
has
focused
on
adult
populations,
only
beginning
receive
dedicated
investigation.
Key
mechanisms
include
reduced
self-disclosure,
cognitive
change,
emotional
validation,
behavioral
activation.
Developmental
emerged
fundamental
challenges,
necessitating
age-appropriate
adaptations
cognitive,
emotional,
linguistic,
dimensions
rather
than
simple
modifications
adult-oriented
systems.
Conclusions:
Conversational
potential
address
unmet
needs
complement
to,
replacement
for,
human-delivered
Future
should
prioritize
longitudinal
outcomes,
science,
safety
monitoring,
equity-focused
design.
Interdisciplinary
collaboration
involving
families
is
essential
ensure
these
technologies
effectively
young
people
while
mitigating
risks.
Язык: Английский
Telepsychiatry and Artificial Intelligence: A Structured Review of Emerging Approaches to Accessible Psychiatric Care
Healthcare,
Год журнала:
2025,
Номер
13(11), С. 1348 - 1348
Опубликована: Июнь 5, 2025
Background/Objectives:
Artificial
intelligence
is
rapidly
permeating
the
field
of
psychiatry.
It
offers
novel
avenues
for
diagnosis,
treatment,
and
prediction
mental
health
disorders.
This
structured
review
aims
to
consolidate
current
approaches
application
AI
in
telepsychiatry.
In
addition,
it
evaluates
their
technological
maturity,
clinical
utility,
ethical–legal
robustness.
Methods:
A
systematic
search
was
conducted
across
PubMed,
Scopus,
Google
Scholar
databases
period
spanning
2015
2025.
The
selection
analysis
processes
adhered
PRISMA
2020
guidelines.
final
synthesis
included
44
publications,
among
which
14
were
empirical
studies
encompassing
a
broad
spectrum
algorithmic
approaches—ranging
from
neural
networks
natural
language
processing
(NLP)
multimodal
architectures.
Results:
revealed
wide
array
applications
telepsychiatry,
automated
diagnostics,
therapeutic
support,
predictive
modeling,
risk
stratification.
most
actively
employed
techniques
include
speech
processing,
analysis,
advanced
forecasting
models.
However,
significant
barriers
implementation
persist—ethical
(threats
autonomy
risks
bias),
(limited
generalizability
lack
explainability),
legal
(ambiguous
accountability
weak
regulatory
frameworks).
Conclusions:
underscores
growing
disconnect
between
rapid
evolution
technologies
institutional
maturity
tools
suitable
scalable
integration.
Despite
notable
advances,
adoption
telepsychiatry
remains
limited.
identifies
persistent
methodological
gaps
systemic
that
demand
coordinated
efforts
research,
technical,
communities.
also
outlines
key
directions
future
interdisciplinary
development
standards.
Язык: Английский