International Journal of Technology in Education,
Journal Year:
2024,
Volume and Issue:
7(1), P. 40 - 58
Published: Feb. 4, 2024
The
versatility
of
ChatGPT
extends
across
diverse
domains,
including
scientific
research.
This
study
delves
into
the
transformative
prospects
integrating
research,
achieved
through
a
SWOT
analysis.
analysis
explores
model's
strengths,
which
encompass
vast
knowledge
base,
language
proficiency,
information
retrieval,
and
capacity
for
continuous
learning.
Conversely,
it
exposes
its
weaknesses,
lack
contextual
understanding,
potential
overreliance
on
training
data,
limitations
in
verifying
information,
constrained
critical
thinking
abilities.
Amidst
these
factors,
opportunities
arise,
such
as
facilitating
literature
reviews,
fostering
collaborative
brainstorming,
enabling
seamless
translation
interpretation,
amplifying
dissemination.
Nonetheless,
spectrum
threats
looms,
encompassing
concerns
related
to
plagiarism,
ethical
quandaries,
propagation
misinformation,
even
erosion
higher-order
cognitive
thinking.
These
multifaceted
aspects
necessitate
comprehensive
consideration.
Recommendations
researchers
embarking
integration
include
balanced
approach
that
harmonizes
AI
human
ingenuity,
thereby
upholding
research
integrity.
reshape
inquiry
can
only
be
realized
conscientious
use
ongoing
oversight.
Urban Informatics,
Journal Year:
2024,
Volume and Issue:
3(1)
Published: Oct. 14, 2024
Abstract
The
digital
transformation
of
modern
cities
by
integrating
advanced
information,
communication,
and
computing
technologies
has
marked
the
epoch
data-driven
smart
city
applications
for
efficient
sustainable
urban
management.
Despite
their
effectiveness,
these
often
rely
on
massive
amounts
high-dimensional
multi-domain
data
monitoring
characterizing
different
sub-systems,
presenting
challenges
in
application
areas
that
are
limited
quality
availability,
as
well
costly
efforts
generating
scenarios
design
alternatives.
As
an
emerging
research
area
deep
learning,
Generative
Artificial
Intelligence
(GenAI)
models
have
demonstrated
unique
values
content
generation.
This
paper
aims
to
explore
innovative
integration
GenAI
techniques
twins
address
planning
management
built
environments
with
focuses
various
such
transportation,
energy,
water,
building
infrastructure.
survey
starts
introduction
cutting-edge
generative
AI
models,
Adversarial
Networks
(GAN),
Variational
Autoencoders
(VAEs),
Pre-trained
Transformer
(GPT),
followed
a
scoping
review
existing
science
leverage
intelligent
autonomous
capability
facilitate
research,
operations,
critical
subsystems,
holistic
environment.
Based
review,
we
discuss
potential
opportunities
technical
strategies
integrate
into
next-generation
more
intelligent,
scalable,
automated
development
Mesopotamian Journal of Artificial Intelligence in Healthcare,
Journal Year:
2024,
Volume and Issue:
2024, P. 1 - 7
Published: Jan. 10, 2024
Background:
The
role
of
artificial
intelligence
(AI)
is
increasingly
recognized
to
enhance
digital
health
literacy.
There
particular
importance
with
widespread
availability
and
popularity
AI
chatbots
such
as
ChatGPT
its
possible
impact
on
involves
the
need
understand
models’
performance
across
different
languages,
dialects,
cultural
contexts.
This
study
aimed
evaluate
in
response
prompting
two
Arabic
namely
Tunisian
Jordanian.
Methods:
descriptive
followed
METRICS
checklist
for
design
reporting
based
studies
healthcare.
Ten
general
queries
were
translated
into
Jordanian
dialects
by
bilingual
native
speakers.
models,
ChatGPT-3.5
ChatGPT-4
Tunisian,
Jordanian,
English
evaluated
using
CLEAR
tool
tailored
assessment
information
generated
models.
Results:
was
categorized
average
Arabic,
an
overall
score
2.83,
compared
above
3.40
Arabic.
showed
a
similar
pattern
marginally
better
outcomes
3.20
rated
3.53.
components
consistently
superior
dialect
both
models
despite
lack
statistical
significance.
Using
content
reference,
responses
significantly
inferior
(P<.001).
Conclusion:
findings
highlight
critical
dialectical
gap
ChatGPT,
underlining
linguistic
diversity
development,
particularly
health-related
content.
Collaborative
efforts
among
developers,
linguists,
healthcare
professionals
are
needed
improve
Future
recommended
broaden
scope
extensive
range
languages
which
would
help
achieving
equitable
access
various
communities.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 3, 2024
Abstract
Colorectal
cancer
(CRC)
is
a
global
health
challenge,
and
patient
education
plays
crucial
role
in
its
early
detection
treatment.
Despite
progress
AI
technology,
as
exemplified
by
transformer-like
models
such
ChatGPT,
there
remains
lack
of
in-depth
understanding
their
efficacy
for
medical
purposes.
We
aimed
to
assess
the
proficiency
ChatGPT
field
popular
science,
specifically
answering
questions
related
CRC
diagnosis
treatment,
using
book
“Colorectal
Cancer:
Your
Questions
Answered”
reference.
In
general,
131
valid
from
were
manually
input
into
ChatGPT.
Responses
evaluated
clinical
physicians
relevant
fields
based
on
comprehensiveness
accuracy
information,
scores
standardized
comparison.
Not
surprisingly,
showed
high
reproducibility
responses,
with
uniformity
comprehensiveness,
accuracy,
final
scores.
However,
mean
ChatGPT’s
responses
significantly
lower
than
benchmarks,
indicating
it
has
not
reached
an
expert
level
competence
CRC.
While
could
provide
accurate
lacked
comprehensiveness.
Notably,
performed
well
domains
radiation
therapy,
interventional
stoma
care,
venous
pain
control,
almost
rivaling
but
fell
short
basic
surgery,
internal
medicine
domains.
demonstrated
promise
specific
domains,
general
efficiency
providing
information
falls
standards,
need
further
advancements
improvements
technology
healthcare.
International Journal of Technology in Education,
Journal Year:
2024,
Volume and Issue:
7(1), P. 40 - 58
Published: Feb. 4, 2024
The
versatility
of
ChatGPT
extends
across
diverse
domains,
including
scientific
research.
This
study
delves
into
the
transformative
prospects
integrating
research,
achieved
through
a
SWOT
analysis.
analysis
explores
model's
strengths,
which
encompass
vast
knowledge
base,
language
proficiency,
information
retrieval,
and
capacity
for
continuous
learning.
Conversely,
it
exposes
its
weaknesses,
lack
contextual
understanding,
potential
overreliance
on
training
data,
limitations
in
verifying
information,
constrained
critical
thinking
abilities.
Amidst
these
factors,
opportunities
arise,
such
as
facilitating
literature
reviews,
fostering
collaborative
brainstorming,
enabling
seamless
translation
interpretation,
amplifying
dissemination.
Nonetheless,
spectrum
threats
looms,
encompassing
concerns
related
to
plagiarism,
ethical
quandaries,
propagation
misinformation,
even
erosion
higher-order
cognitive
thinking.
These
multifaceted
aspects
necessitate
comprehensive
consideration.
Recommendations
researchers
embarking
integration
include
balanced
approach
that
harmonizes
AI
human
ingenuity,
thereby
upholding
research
integrity.
reshape
inquiry
can
only
be
realized
conscientious
use
ongoing
oversight.
