Using Artificial Intelligence to Advance Eating Disorder Research, Treatment and Practice
International Journal of Eating Disorders,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 8, 2025
Artificial
intelligence
(AI)
has
the
potential
to
revolutionize
eating
disorder
research,
treatment,
and
practice
by
assisting
with
complex
problems
such
as
predicting
illness
prognosis,
supporting
diagnostic
decisions,
tailoring
treatment
plans,
even
data
analysis
study
design
choices.
Yet,
research
on
applications
of
AI
in
disorders
remains
limited.
This
editorial
discusses
importance
AI,
explores
practical
applications,
outlines
key
directions
for
future
research.
To
accelerate
progress,
International
Journal
Eating
Disorders
will
publish
a
special
issue
this
context,
anticipated
December
2025.
Язык: Английский
Mental health clinicians’ practices and perspectives of eating disorder apps
Psychiatry Research,
Год журнала:
2025,
Номер
347, С. 116412 - 116412
Опубликована: Фев. 19, 2025
Язык: Английский
Perceived Barriers and Facilitators of Use of Artificial Intelligence in Eating Disorder Care: A Commentary on Linardon et al. (2025)
International Journal of Eating Disorders,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
ABSTRACT
Artificial
intelligence
(AI)
has
the
potential
to
revolutionize
mental
health
care,
including
for
eating
disorders,
but
there
are
still
a
number
of
concerns
focused
on
ethics,
governance,
and
regulation.
As
authors
found
in
their
preliminary
survey
study
involving
clinicians
people
experiencing
disorder
symptoms,
was
support
recognition
benefits
AI
tools
care.
However,
participants
also
had
surrounding
issues
like
data
privacy,
information
accuracy,
therapeutic
rapport.
From
our
own
research
development
multiple
tools,
particularly
chatbots,
assist
disorders
loved
ones,
we
suggest
that
these
perceived
barriers
can
be
overcome
with
thoughtful
comprehensive
codesign
multidisciplinary
teams
following
ethical
frameworks
digital
technologies.
In
this
way,
optimally
mitigate
risk
using
while
offering
most
advanced
technologies
treat
disorders.
Язык: Английский
Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy
Digital Health,
Год журнала:
2025,
Номер
11
Опубликована: Март 1, 2025
Artificial
Intelligence
(AI)
has
demonstrated
significant
potential
in
transforming
psychiatric
care
by
enhancing
diagnostic
accuracy
and
therapeutic
interventions.
Psychiatry
faces
challenges
like
overlapping
symptoms,
subjective
methods,
personalized
treatment
requirements.
AI,
with
its
advanced
data-processing
capabilities,
offers
innovative
solutions
to
these
complexities.
This
study
systematically
reviewed
meta-analyzed
the
existing
literature
evaluate
AI's
efficacy
care,
focusing
on
various
disorders
AI
technologies.
Adhering
PRISMA
guidelines,
included
a
comprehensive
search
across
multiple
databases.
Empirical
studies
investigating
applications
psychiatry,
such
as
machine
learning
(ML),
deep
(DL),
hybrid
models,
were
selected
based
predefined
inclusion
criteria.
The
outcomes
of
interest
efficacy.
Statistical
analysis
employed
fixed-
random-effects
subgroup
sensitivity
analyses
exploring
impact
methodologies
designs.
A
total
14
met
criteria,
representing
diverse
diagnosing
treating
disorders.
pooled
was
85%
(95%
CI:
80%-87%),
ML
models
achieving
highest
accuracy,
followed
DL
models.
For
efficacy,
effect
size
84%
82%-86%),
excelling
plans
symptom
tracking.
Moderate
heterogeneity
observed,
reflecting
variability
designs
populations.
risk
bias
assessment
indicated
high
methodological
rigor
most
studies,
though
algorithmic
biases
data
quality
remain.
demonstrates
robust
capabilities
offering
data-driven
approach
mental
healthcare.
Future
research
should
address
ethical
concerns,
standardize
methodologies,
explore
underrepresented
populations
maximize
transformative
health.
Язык: Английский
Artificial Intelligence and Social Media for the Detection of Eating Disorders
International Journal of Eating Disorders,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 8, 2025
ABSTRACT
Artificial
intelligence
(AI)
has
been
increasingly
recognized
for
its
potential
in
mental
health
management,
including
detecting,
preventing,
and
treating
eating
disorders
(EDs).
Linardon
et
al.
investigated
current
practices
perspectives
on
AI
ED
treatment
from
professionals
community
participants.
While
their
work
provides
valuable
insights
into
AI's
role
management
the
phase,
applications
of
at
earlier
stages,
particularly
case
detection,
key
groups
involved
this
early‐stage
implementation
(e.g.,
individuals
with
or
risk
EDs)
remain
underexplored.
Given
large
volume
multimodal
data
available
social
media
platforms,
together
widespread
use
accessibility,
integration
an
ideal
opportunity
conducting
large‐scale,
population‐based
detection
EDs.
Thus,
commentary,
we
discuss
to
leverage
highlight
related
ethical
considerations
bias
privacy),
propose
future
research
directions.
Язык: Английский
All in the Name of Artificial Intelligence: A Commentary on Linardon (2025)
International Journal of Eating Disorders,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 15, 2025
ABSTRACT
Artificial
Intelligence
(AI)
is
being
rapidly
integrated
into
healthcare,
but
Linardon
et
al.
reveal
a
troubling
gap
between
what
AI
actually
is,
its
capabilities,
and
the
patients'
clinicians'
perceptions
of
it—equating
solely
with
large
language
models.
In
this
commentary,
we
discuss
concerns
over
AI's
black‐box
nature,
potential
to
perpetuate
existing
biases,
blind
trust
some
people
place
in
decisions,
despite
evidence
that
quantitative
models
outperform
clinical
decision‐making
tasks.
While
holds
promise
eating
disorder
care,
integration
requires
nuanced
understanding
limitations,
critical
distinction
for
administrative
automation,
decision‐making,
direct‐to‐patient
AI.
Poorly
designed
alerts
risk
becoming
just
another
ignorable
nuisance,
while
patient‐facing
could
either
empower
individuals
or
drown
them
notifications
misinformation.
Before
anoint
as
healthcare's
savior,
it
validation
accuracy,
reliability,
fairness,
real‐world
usability,
actual
measurable
impact
on
clinicians
patients.
The
real
challenge
not
whether
will
change
healthcare
ensuring
does
so
responsibly—by
integrating
thoughtfully
workflows,
such
supporting
rather
than
replacing
judgment,
maintaining
accountability
when
things
go
wrong.
Язык: Английский
AI‐Readiness in the Eating Disorders Field
International Journal of Eating Disorders,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 17, 2025
ABSTRACT
This
commentary
responds
to
the
article
by
Linardon
et
al.
which
presents
findings
from
a
survey
of
eating
disorder
clinicians
and
people
community
in
regard
their
experiences
attitudes
toward
use
artificial
intelligence
(AI)
clinical
practice.
explores
inevitability,
benefits,
risks,
opportunities
provided
AI
integration
health
care.
Recommendations
are
for
researchers,
clinicians,
service
providers,
Information
Communication
Technology
experts.
Язык: Английский