Digital Health,
Journal Year:
2024,
Volume and Issue:
10
Published: Jan. 1, 2024
Introduction
ChatGPT,
as
an
AI
tool,
has
been
introduced
in
healthcare
for
various
purposes.
The
objective
of
the
study
was
to
investigate
principal
benefits
ChatGPT
utilization
services
and
identify
potential
domains
its
expansion
within
building
blocks
industry.
Methods
A
comprehensive
three-phase
conducted
employing
mixed
methods.
initial
phase
comprised
a
systematic
review
thematic
analysis
data.
In
subsequent
phases,
questionnaire,
developed
based
on
findings
from
first
phase,
distributed
sample
eight
experts.
prioritize
blocks,
utilizing
gray
SWARA
(Stepwise
Weight
Assessment
Ratio
Analysis)
MABAC
(Multi-Attributive
Border
Approximation
Area
Comparison),
respectively.
Results
yielded
74
studies.
data
these
studies
identified
11
unique
themes.
second
method,
clinical
decision-making
(weight:
0.135),
medical
diagnosis
0.098),
procedures
0.070),
patient-centered
care
0.053)
emerged
most
significant
benefit
sector.
Subsequently,
it
determined
that
demonstrated
highest
level
usefulness
information
infrastructure,
communication
technologies
blocks.
Conclusion
concluded
that,
despite
healthcare,
exhibits
more
pronounced
growth
informational
industry's
rather
than
intervention
services.
Machine Learning with Applications,
Journal Year:
2023,
Volume and Issue:
15, P. 100522 - 100522
Published: Dec. 28, 2023
Intelligent
search
engines
including
pre-trained
generative
transformers
(GPT)
have
revolutionized
the
user
experience.
Several
fields
e-commerce,
education,
and
hospitality
are
increasingly
exploring
GPT
tools
to
study
reviews
gain
critical
insights
improve
their
service
quality.
However,
massive
user-review
data
imprecise
prompt
engineering
lead
biased,
irrelevant,
impersonal
results.
In
addition,
exposing
these
may
pose
privacy
issues.
Motivated
by
factors,
we
present
ChatReview,
a
ChatGPT-enabled
natural
language
processing
(NLP)
framework
that
effectively
studies
domain-specific
offer
relevant
personalized
results
at
multiple
levels
of
granularity.
The
accomplishes
this
task
using
four
phases
collection,
tokenization,
query
construction,
response
generation.
collection
phase
involves
gathering
from
public
private
repositories.
tokenization
phase,
ChatReview
applies
sentiment
analysis
extract
keywords
categorize
them
into
various
classes.
This
process
creates
token
repository
best
describes
sentiments
for
given
data.
construction
uses
domain
knowledge
construct
three
types
ChatGPT
prompts
explicit,
implicit,
creative.
generation
pipelines
generate
varying
We
analyze
our
real-world
domains
local
restaurants,
hospitality.
assert
simplifies
general
users
produce
effective
while
minimizing
exposure
sensitive
engines.
also
one-of-a-kind
Large
Language
Model
(LLM)
peer
assessment
framework.
Specifically,
employ
Google's
Bard
objectively
qualitatively
outputs.
Our
Bard-based
analyses
yield
over
90%
satisfaction,
establishing
as
viable
survey
tool.
Journal of the Formosan Medical Association,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 1, 2024
In
the
rapidly
evolving
healthcare
landscape,
artificial
intelligence
(AI),
particularly
large
language
models
(LLMs),
like
OpenAI's
Chat
Generative
Pretrained
Transformer
(ChatGPT),
has
shown
transformative
potential
in
emergency
medicine
and
critical
care.
This
review
article
highlights
advancement
applications
of
ChatGPT,
from
diagnostic
assistance
to
clinical
documentation
patient
communication,
demonstrating
its
ability
perform
comparably
human
professionals
medical
examinations.
ChatGPT
could
assist
decision-making
medication
selection
care,
showcasing
optimize
care
management.
However,
integrating
LLMs
into
raises
legal,
ethical,
privacy
concerns,
including
data
protection
necessity
for
informed
consent.
Finally,
we
addressed
challenges
related
accuracy
LLMs,
such
as
risk
providing
incorrect
advice.
These
concerns
underscore
importance
ongoing
research
regulation
ensure
their
ethical
practical
use
healthcare.
Healthcare,
Journal Year:
2023,
Volume and Issue:
11(16), P. 2283 - 2283
Published: Aug. 13, 2023
Post-extubation
dysphagia
(PED)
can
lead
to
serious
health
problems
in
critically
ill
patients.
Contrasting
its
high
incidence
rate
of
12.4%
reported
a
recent
observational
study,
many
ICUs
lack
routine
bedside
screening,
likely
due
limited
awareness.
This
study
aimed
establish
baseline
data
on
the
current
approaches
and
status
perceived
best
practices
PED
screening
treatment,
as
well
assess
awareness
PED.
A
nationwide
cross-sectional,
online
survey
was
conducted
all
fourteen
adult
Republic
Cyprus
June
2018,
with
100%
response
rate.
Over
85%
lacked
standard
protocol
for
The
most
commonly
assessment
methods
were
cough
reflex
testing
water
swallow
test.
Treatment
included
muscle
strengthening
exercises
without
swallowing
exercises.
Only
28.6%
acknowledged
common
issue.
identified
significant
gaps
knowledge
regarding
treatment
Greek-Cypriot
ICUs.
Urgent
implementation
comprehensive
education
programs
within
units
is
necessary,
interdisciplinary
collaboration
among
nurses,
intensivists,
speech
language
therapists
crucial
improve
quality
care
provided.
Frontiers in Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
7
Published: June 6, 2024
In
several
medical
fields,
generative
AI
tools
such
as
ChatGPT
have
achieved
optimal
performance
in
identifying
correct
diagnoses
only
by
evaluating
narrative
clinical
descriptions
of
cases.
The
most
active
fields
application
include
oncology
and
COVID-19-related
symptoms,
with
preliminary
relevant
results
also
psychiatric
neurological
domains.
This
scoping
review
aims
to
introduce
the
arrival
applications
neurorehabilitation
practice,
where
AI-driven
solutions
potential
revolutionize
patient
care
assistance.
First,
a
comprehensive
overview
ChatGPT,
including
its
design,
medicine
is
provided.
Second,
remarkable
natural
language
processing
skills
limitations
these
models
are
examined
focus
on
their
use
neurorehabilitation.
this
context,
we
present
two
case
scenarios
evaluate
ability
resolve
higher-order
reasoning.
Overall,
provide
support
first
evidence
that
can
meaningfully
integrate
facilitator
into
aiding
physicians
defining
increasingly
efficacious
diagnostic
personalized
prognostic
plans.
Digital Health,
Journal Year:
2024,
Volume and Issue:
10
Published: Jan. 1, 2024
Introduction
ChatGPT,
as
an
AI
tool,
has
been
introduced
in
healthcare
for
various
purposes.
The
objective
of
the
study
was
to
investigate
principal
benefits
ChatGPT
utilization
services
and
identify
potential
domains
its
expansion
within
building
blocks
industry.
Methods
A
comprehensive
three-phase
conducted
employing
mixed
methods.
initial
phase
comprised
a
systematic
review
thematic
analysis
data.
In
subsequent
phases,
questionnaire,
developed
based
on
findings
from
first
phase,
distributed
sample
eight
experts.
prioritize
blocks,
utilizing
gray
SWARA
(Stepwise
Weight
Assessment
Ratio
Analysis)
MABAC
(Multi-Attributive
Border
Approximation
Area
Comparison),
respectively.
Results
yielded
74
studies.
data
these
studies
identified
11
unique
themes.
second
method,
clinical
decision-making
(weight:
0.135),
medical
diagnosis
0.098),
procedures
0.070),
patient-centered
care
0.053)
emerged
most
significant
benefit
sector.
Subsequently,
it
determined
that
demonstrated
highest
level
usefulness
information
infrastructure,
communication
technologies
blocks.
Conclusion
concluded
that,
despite
healthcare,
exhibits
more
pronounced
growth
informational
industry's
rather
than
intervention
services.
