Journal of Clinical Medicine,
Год журнала:
2025,
Номер
14(7), С. 2515 - 2515
Опубликована: Апрель 7, 2025
Background/Objectives:
Bipolar
disorder
(BD)
is
a
complex
and
chronic
mental
health
condition
that
poses
significant
challenges
for
both
patients
healthcare
providers.
Traditional
treatment
methods,
including
medication
therapy,
remain
vital,
but
there
increasing
interest
in
the
application
of
artificial
intelligence
(AI)
to
enhance
BD
management.
AI
has
potential
improve
mood
episode
prediction,
personalize
plans,
provide
real-time
support,
offering
new
opportunities
managing
more
effectively.
Our
primary
objective
was
explore
role
transforming
management
BD,
specifically
tracking,
personalized
regimens.
Methods:
To
management,
we
conducted
review
recent
literature
using
key
search
terms.
We
included
studies
discussed
applications
personalization.
The
were
selected
based
on
their
relevance
AI's
with
attention
PICO
criteria:
Population-individuals
diagnosed
BD;
Intervention-AI
tools
personalization,
support;
Comparison-traditional
methods
(when
available);
Outcome-measures
effectiveness,
improvements
patient
care.
Results:
findings
from
research
reveal
promising
developments
use
Studies
suggest
AI-powered
can
enable
proactive
care,
improving
outcomes
reducing
burden
professionals.
ability
analyze
data
wearable
devices,
smartphones,
even
social
media
platforms
provides
valuable
insights
early
detection
dynamic
adjustments.
Conclusions:
While
still
its
stages,
it
presents
transformative
However,
further
development
are
crucial
fully
realize
supporting
optimizing
efficacy.
Journal of the International Association of Providers of AIDS Care (JIAPAC),
Год журнала:
2025,
Номер
24
Опубликована: Март 1, 2025
Background
This
study
assessed
the
acceptability,
among
caregivers,
of
a
mental
health
chatbot
designed
for
adolescents
living
with
HIV
aged
10
to
19
years.
Methods
Fifteen
caregivers
interacted
chatbot.
Pre–post
assessments
and
semistructured
interviews
evaluated
acceptability.
Data
were
analyzed
using
Framework
Analysis
approach.
Results
Caregivers
31
70
years
found
acceptable
on
individual,
interpersonal,
environmental
levels.
They
appreciated
educational
content
self-help
tools,
feeling
would
benefit
them
personally.
also
saw
potential
in
improve
communication
their
children,
particularly
during
critical
periods
like
diagnosis.
Despite
concerns
about
data
costs
or
internet
access,
most
viewed
as
an
accessible
supplement
traditional
services.
Conclusion
suggests
that
Peruvian
was
potentially
benefiting
caregivers’
health,
enhancing
caregiver–adolescent
interactions,
fostering
better
communication.
BACKGROUND
Artificial
Intelligence
(AI)
is
increasingly
integrated
into
healthcare,
including
psychiatry
and
psychology.
In
educational
contexts,
AI
offers
new
possibilities
for
enhancing
clinical
reasoning,
personalizing
content
delivery,
supporting
professional
development.
Despite
this
emerging
interest,
a
comprehensive
understanding
of
how
currently
used
in
mental
health
education,
the
challenges
associated
with
its
adoption,
remains
limited.
OBJECTIVE
This
scoping
review
aims
to
identify
characterize
current
applications
teaching
learning
It
also
seeks
document
reported
facilitators
barriers
integration
within
contexts.
METHODS
A
systematic
search
was
conducted
across
six
electronic
databases
(MEDLINE,
PubMed,
Embase,
PsycINFO,
EBM
Reviews,
Google
Scholar)
from
inception
October
2024.
The
followed
PRISMA-ScR
guidelines.
Studies
were
included
if
they
focused
on
or
psychology,
described
use
an
tool,
discussed
at
least
one
facilitator
barrier
education.
Data
extracted
study
characteristics,
population,
application,
outcomes,
facilitators,
barriers.
Study
quality
appraised
using
several
design-appropriate
tools.
RESULTS
From
6219
records,
10
studies
met
inclusion
criteria.
Eight
categories
identified:
decision
support,
creation,
therapeutic
tools
monitoring,
administrative
research
assistance,
natural
language
processing,
program/policy
development,
student/applicant
Key
availability
tools,
positive
learner
attitudes,
digital
infrastructure,
time-saving
features.
Barriers
limited
training,
ethical
concerns,
lack
literacy,
algorithmic
opacity,
insufficient
curricular
integration.
overall
methodological
moderate
high.
CONCLUSIONS
being
range
functions
training
assessment
support.
While
potential
outcomes
clear,
successful
requires
addressing
ethical,
technical,
pedagogical
Future
efforts
should
focus
faculty
institutional
policies
guide
responsible
effective
use.
underscores
importance
interdisciplinary
collaboration
ensure
safe,
equitable,
meaningful
adoption
Journal of Clinical Medicine,
Год журнала:
2025,
Номер
14(7), С. 2515 - 2515
Опубликована: Апрель 7, 2025
Background/Objectives:
Bipolar
disorder
(BD)
is
a
complex
and
chronic
mental
health
condition
that
poses
significant
challenges
for
both
patients
healthcare
providers.
Traditional
treatment
methods,
including
medication
therapy,
remain
vital,
but
there
increasing
interest
in
the
application
of
artificial
intelligence
(AI)
to
enhance
BD
management.
AI
has
potential
improve
mood
episode
prediction,
personalize
plans,
provide
real-time
support,
offering
new
opportunities
managing
more
effectively.
Our
primary
objective
was
explore
role
transforming
management
BD,
specifically
tracking,
personalized
regimens.
Methods:
To
management,
we
conducted
review
recent
literature
using
key
search
terms.
We
included
studies
discussed
applications
personalization.
The
were
selected
based
on
their
relevance
AI's
with
attention
PICO
criteria:
Population-individuals
diagnosed
BD;
Intervention-AI
tools
personalization,
support;
Comparison-traditional
methods
(when
available);
Outcome-measures
effectiveness,
improvements
patient
care.
Results:
findings
from
research
reveal
promising
developments
use
Studies
suggest
AI-powered
can
enable
proactive
care,
improving
outcomes
reducing
burden
professionals.
ability
analyze
data
wearable
devices,
smartphones,
even
social
media
platforms
provides
valuable
insights
early
detection
dynamic
adjustments.
Conclusions:
While
still
its
stages,
it
presents
transformative
However,
further
development
are
crucial
fully
realize
supporting
optimizing
efficacy.
