Exploring User Characteristics, Motives and Expectations and Therapeutic Alliance in the Mental Health Conversational Ai Clare®: a Baseline Study
Опубликована: Янв. 1, 2024
Язык: Английский
Revolutionizing Mental Wellness With a Neurosymbolic Artificial Intelligence (Preprint)
Опубликована: Фев. 20, 2024
BACKGROUND
The
integration
of
artificial
intelligence
(AI)
in
mental
health
care
has
traditionally
been
hampered
by
the
reliance
on
static
models
that
necessitate
extensive
training
and
fine-tuning,
thereby
limiting
their
adaptability
personalization
capabilities
[1][2].
OBJECTIVE
This
study
aims
to
introduce
an
innovative
framework
utilizes
linguistic
large
language
(LLMs),
specifically
GPT-3.5,
create
a
dynamic,
user-specific
conversational
corpus
aligns
with
individual
psychological
profiles
patients.
METHODS
Our
approach,
termed
'spontaneous
symbiosis
combustion,'
eliminates
need
for
conventional
or
fine-tuning.
It
establishes
symbiotic
relationship
between
LLM
user's
unique
data,
facilitating
real-time
adaptation
evolving
state.
RESULTS
Implementation
this
methodology
shown
significant
advancements
personalizing
patient
interactions,
incorporating
temporal
abstractions,
enhancing
AI's
operational
effectively
anticipate
address
adverse
behavioral
patterns.
Ethical
considerations
were
meticulously
evaluated
ensure
balanced
deployment
maximizes
benefits
while
minimizing
dependency
risks
[3][4].
CONCLUSIONS
findings
from
suggest
cutting-edge
AI-driven
tool
offers
cost-effective,
adaptable,
empathetic
alternative
traditional
methodologies.
By
democratizing
AI
healthcare,
our
emerges
as
promising
universal
solution
support,
poised
transform
clinical
practices
mark
milestone
convergence
healthcare.
CLINICALTRIAL
Язык: Английский
Artificial Intelligence Applications in Healthcare
AlQalam Journal of Medical and Applied Sciences,
Год журнала:
2024,
Номер
unknown, С. 597 - 605
Опубликована: Июль 27, 2024
Nowadays,
the
employment
of
artificial
intelligence
(AI)
technologies
in
healthcare
has
provided
useful
outcomes
related
to
decision-making,
early
diagnosis
diseases,
and
optimization
patient
care
services.
AI
apply
a
variety
data
sources.
The
present
paper
discussed
latest
developments
on
Artificial
Intelligence
applications,
technologies,
benefits,
challenges,
ethical
considerations.
It
also
underlined
role
improvement
diagnosis,
prediction,
personalized
treatment.
On
basis
research,
it
is
claimed
that
regulation
going
decide
fate
AI-ethics
for
at
least
coming
decade.
agoras
AI-healthcare
should
instead
stamp
remain
as
imprint
possible
permissible
moral
philosophy
shaped
over
years.
Язык: Английский