Artificial Intelligence in Medicine,
Год журнала:
2024,
Номер
160, С. 103052 - 103052
Опубликована: Дек. 6, 2024
The
review
seeks
to
promote
transparency
in
the
availability
of
regulated
AI-enabled
Clinical
Decision
Support
Systems
(AI-CDSS)
for
mental
healthcare.
From
84
potential
products,
seven
fulfilled
inclusion
criteria.
products
can
be
categorized
into
three
major
areas:
diagnosis
autism
spectrum
disorder
(ASD)
based
on
clinical
history,
behavioral,
and
eye-tracking
data;
multiple
disorders
conversational
medication
selection
history
genetic
data.
We
found
five
scientific
articles
evaluating
devices'
performance
external
validity.
average
completeness
reporting,
indicated
by
52
%
adherence
Consolidated
Standards
Reporting
Trials
Artificial
Intelligence
(CONSORT-AI)
checklist,
was
modest,
signaling
room
improvement
reporting
quality.
Our
findings
stress
importance
obtaining
regulatory
approval,
adhering
standards,
staying
up-to-date
with
latest
changes
landscape.
Refining
guidelines
implementing
effective
tracking
systems
AI-CDSS
could
enhance
oversight
field.
Information,
Год журнала:
2024,
Номер
16(1), С. 11 - 11
Опубликована: Дек. 29, 2024
Anxiety
disorders
are
among
the
most
prevalent
mental
health
conditions
globally,
causing
significant
personal
and
societal
burdens.
Traditional
therapies,
while
effective,
often
face
barriers
such
as
limited
accessibility,
high
costs,
stigma
associated
with
seeking
care.
The
emergence
of
artificial
intelligence
(AI)
chatbots
offers
a
novel
solution
by
providing
accessible,
cost-effective,
immediate
support
for
individuals
experiencing
anxiety.
This
comprehensive
review
examines
evolution,
efficacy,
advantages,
limitations,
challenges,
future
perspectives
AI
in
treatment
anxiety
disorders.
A
methodologically
rigorous
literature
search
was
conducted
across
multiple
databases,
focusing
on
publications
from
2010
to
2024
that
evaluated
chatbot
interventions
targeting
symptoms.
Empirical
studies
demonstrate
can
effectively
reduce
symptoms
delivering
therapeutic
like
cognitive-behavioral
therapy
through
interactive
personalized
dialogues.
advantages
include
increased
accessibility
without
geographical
or
temporal
reduced
an
anonymity
encourages
openness
reduces
stigma.
However,
limitations
persist,
lack
human
empathy,
ethical
privacy
concerns
related
data
security,
technical
challenges
understanding
complex
emotions.
key
identified
involve
enhancing
emotional
chatbots,
integrating
them
traditional
therapy,
establishing
robust
frameworks
ensure
user
safety
protection.
Future
research
should
focus
improving
capabilities,
personalization,
cultural
adaptation,
engagement.
In
conclusion,
represent
promising
adjunct
treating
disorders,
offering
scalable
complement
services.
Balancing
technological
innovation
responsibility
is
crucial
maximize
their
potential
benefits.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO),
Год журнала:
2024,
Номер
unknown, С. 1 - 6
Опубликована: Март 14, 2024
This
research
presents
a
novel
retrieval-based
question-answering
(QA)
framework
utilizing
LangChain's
(version
0.1.6)
modular
architecture
and
Chainlit's
0.7.700)
conversational
interface.
Our
system
efficiently
handles
PDF
directory
documents,
generates
sentence
embeddings
with
HuggingFace's
pre-trained
model,
stores
vectors
in
FAISS
for
fast
search,
employs
the
powerful
CTransformers
0.2.27)
Llama-2-7B-Chat-GGUF
guides
it
custom
prompt
template
accurate
factual
responses.
The
integrated
Chainlit
interface
facilitates
user
interaction,
demonstrating
framework's
potential
knowledge-intensive
domains
like
medical
chatbots.
L'État
de
la
situation
sur
les
impacts
sociétaux
l'intelligence
artificielle
et
du
numérique
fait
état
des
connaissances
actuelles
l'IA
numérique,
structurées
autour
sept
axes
recherche
l'Obvia
:
santé,
éducation,
travail
emploi,
éthique
gouvernance,
droit,
arts
médias,
transition
socio-écologique.
Hypertrucages,
désinformation,
empreinte
environnementale,
droit
d'auteur,
évolution
conditions
travail…
Le
document
recense
grandes
questions
soulevées
par
le
déploiement
progressif
ces
nouvelles
technologies,
auxquelles
viennent
s'ajouter
cas
d'usages
pistes
d'action.
Il
s'impose
ainsi
comme
un
outil
complet
indispensable
pour
accompagner
prise
décision
dans
tous
secteurs
bouleversés
changements.
JMIR Formative Research,
Год журнала:
2024,
Номер
8, С. e58653 - e58653
Опубликована: Авг. 14, 2024
Despite
the
increasing
focus
on
perinatal
care,
preventive
digital
interventions
are
still
scarce.
Furthermore,
literature
suggests
that
design
and
development
of
these
mainly
conducted
through
a
top-down
approach
limitedly
accounts
for
direct
end
user
perspectives.
Artificial Intelligence in Medicine,
Год журнала:
2024,
Номер
160, С. 103052 - 103052
Опубликована: Дек. 6, 2024
The
review
seeks
to
promote
transparency
in
the
availability
of
regulated
AI-enabled
Clinical
Decision
Support
Systems
(AI-CDSS)
for
mental
healthcare.
From
84
potential
products,
seven
fulfilled
inclusion
criteria.
products
can
be
categorized
into
three
major
areas:
diagnosis
autism
spectrum
disorder
(ASD)
based
on
clinical
history,
behavioral,
and
eye-tracking
data;
multiple
disorders
conversational
medication
selection
history
genetic
data.
We
found
five
scientific
articles
evaluating
devices'
performance
external
validity.
average
completeness
reporting,
indicated
by
52
%
adherence
Consolidated
Standards
Reporting
Trials
Artificial
Intelligence
(CONSORT-AI)
checklist,
was
modest,
signaling
room
improvement
reporting
quality.
Our
findings
stress
importance
obtaining
regulatory
approval,
adhering
standards,
staying
up-to-date
with
latest
changes
landscape.
Refining
guidelines
implementing
effective
tracking
systems
AI-CDSS
could
enhance
oversight
field.
