Економіка розвитку систем,
Год журнала:
2024,
Номер
6(2), С. 63 - 70
Опубликована: Окт. 31, 2024
In
the
context
of
intensifying
competition
and
evolving
market
dynamics,
deployment
cutting-edge
technologies
has
become
not
merely
a
discretionary
choice,
but
an
indispensable
imperative
for
any
enterprise
aspiring
to
achieve
successful
growth.
Generative
artificial
intelligence,
with
its
substantial
potential
automation,
personalisation
optimisation
business
processes,
is
emerging
as
highly
promising
avenue
digital
transformation.
This
study
dedicated
investigating
approaches
delineating
strategies
aligning
generative
intelligence
requirements
The
research
examines
development
focus
on
symbolic
machine
learning,
deep
learning
intelligence.
addition,
it
considers
impact
these
developments
processes.
article
identifies
benefits
challenges
associated
adaptation
needs
modern
business,
in
areas
marketing,
sales
data
analysis.
utilisation
diverse
methodologies
techniques,
including
prompts,
fine-tuning,
incorporation
interactive
guidance
systems,
can
enhance
efficacy
precision
AI
setting,
thereby
facilitating
optimal
outcomes
multitude
tasks.
authors
put
forth
proposition
employing
technology
conjunction
Retrieval-Augmented
Generation,
objective
enhancing
quality
relevance
responses
user
queries.
Additionally,
they
advocate
agents
or
orchestration
tools
provide
models.
implementation
hinges
three
key
factors:
clear
definition
objectives,
selection
suitable
technologies,
assurance
managerial
staff
support.
will
contribute
increased
efficiency
through
automation
routine
tasks,
enhanced
competitiveness
innovation,
optimised
cost
structures
that
increase
profitability,
expanded
opportunities
development.
Diagnostics,
Год журнала:
2025,
Номер
15(11), С. 1432 - 1432
Опубликована: Июнь 4, 2025
Objectives:
The
purpose
of
the
study
is
to
evaluate
diagnostic
accuracy
artificial
intelligence
(AI)
software
in
detecting
a
common
set
periodontal
and
restorative
conditions,
including
marginal
bone
loss,
dental
caries,
periapical
lesions,
calculus,
endodontic
treatment,
crowns,
restorations,
open
crown
margins,
using
intraoral
radiographs.
Additionally,
will
assess
how
this
AI
influences
dentists
with
varying
levels
experience
identifying
these
conditions.
Methods:
A
total
three
hundred
digital
IOPARs
representing
1030
teeth
were
selected
based
on
predetermined
selection
criteria.
parameters
assessed
included
(a)
(b)
radiolucency,
(c)
(d)
(e)
type
(filling)
material,
(f)
retainer
(g)
detection
margins.
Two
oral
radiologists
performed
initial
diagnosis
radiographs
independently
labeled
all
predefined
for
provided
under
standardized
This
data
served
as
reference
data.
pre-trained
AI-based
computer-aided
(“CADe”)
(Second
Opinion®,
version
1.1)
was
used
features.
reports
generated
by
compared
software.
In
second
phase
study,
thirty
interns
specialists
randomly
selected.
Each
participant
assigned
five
asked
detect
diagnose
Subsequently,
participants
requested
reassess
IOPARs,
time
assistance
All
recorded
self-designed
Performa.
Results:
sensitivity
restoration,
loss
91.0%,
86.6%,
97.1%,
82.6%,
89.3%,
93.4%,
80.2%,
91.1%,
respectively.
specificity
detected
87%,
98.3%,
99.6%,
91.9%,
96.4%,
99.3%,
97.8%,
93.1%,
differences
between
radiologist
diagnoses
statistically
significant
(all
p
values
<
0.0001).
results
showed
that
operators
(interns
specialists)
revealed
higher
accuracy,
sensitivity,
PA
without
There
variations
improvements
specialists.
Conclusions:
Within
limitations
it
can
be
concluded
tested
has
high
conditions
IOPARs.
use
enhanced
capabilities
operators.
present
clinically
useful
which
help
fast
accurate
provide
high-quality
treatment
their
patients.
Education Sciences,
Год журнала:
2024,
Номер
14(5), С. 530 - 530
Опубликована: Май 13, 2024
This
study
investigates
alternative
approaches
for
demonstrating
historical
understanding
in
elementary
school
history
education,
motivated
by
challenges
to
educational
institutions
posed
increased
ChatGPT-related
plagiarism.
Focused
on
secondary
an
area
with
scant
research,
this
study,
through
sociocultural
and
linguistic
methods
of
analysis,
contrasted
human-generated
narratives
those
produced
ChatGPT.
It
was
found
that
ChatGPT’s
narratives,
while
stylistically
superior,
lacked
emotional
depth,
highlighting
a
key
differentiation
from
human
storytelling.
However,
despite
differentiation,
ChatGPT
otherwise
effectively
mimicked
typical
discourse
patterns
storytelling,
suggesting
narrative-based
writing
assignments
do
not
significantly
reduce
the
likelihood
ChatGPT-assisted
The
concludes
rather
than
focusing
mitigating
plagiarism,
should
seek
channel
its
potential
into
assistance
task
design,
delivery
content,
coaching
student
writing.
International Journal of Information and Communication Technology Education,
Год журнала:
2024,
Номер
20(1), С. 1 - 21
Опубликована: Июль 17, 2024
With
the
development
of
social
economy,
globalization
world
has
become
an
inevitable
trend.
However,
cultures
various
countries
and
nationalities
in
are
constantly
communicating
merging
with
each
other;
folk
art
China
been
greatly
impacted,
traditional
culture
distinctive
national
characteristics
rejected.
Strengthening
education
is
needed
not
only
to
improve
people's
personality
cultivate
aesthetic
taste,
but
also
protect
impart
spirit.
rapid
information
technology
relying
on
hand-held
learning
equipment,
mobile
internet
technology,
network
multimedia
life-long
possible.
Using
smart
devices
study
teaching
conducive
in-depth
exploration,
applying
methods
our
own
life,
protecting
inheriting
infringed
art.
Економіка розвитку систем,
Год журнала:
2024,
Номер
6(2), С. 63 - 70
Опубликована: Окт. 31, 2024
In
the
context
of
intensifying
competition
and
evolving
market
dynamics,
deployment
cutting-edge
technologies
has
become
not
merely
a
discretionary
choice,
but
an
indispensable
imperative
for
any
enterprise
aspiring
to
achieve
successful
growth.
Generative
artificial
intelligence,
with
its
substantial
potential
automation,
personalisation
optimisation
business
processes,
is
emerging
as
highly
promising
avenue
digital
transformation.
This
study
dedicated
investigating
approaches
delineating
strategies
aligning
generative
intelligence
requirements
The
research
examines
development
focus
on
symbolic
machine
learning,
deep
learning
intelligence.
addition,
it
considers
impact
these
developments
processes.
article
identifies
benefits
challenges
associated
adaptation
needs
modern
business,
in
areas
marketing,
sales
data
analysis.
utilisation
diverse
methodologies
techniques,
including
prompts,
fine-tuning,
incorporation
interactive
guidance
systems,
can
enhance
efficacy
precision
AI
setting,
thereby
facilitating
optimal
outcomes
multitude
tasks.
authors
put
forth
proposition
employing
technology
conjunction
Retrieval-Augmented
Generation,
objective
enhancing
quality
relevance
responses
user
queries.
Additionally,
they
advocate
agents
or
orchestration
tools
provide
models.
implementation
hinges
three
key
factors:
clear
definition
objectives,
selection
suitable
technologies,
assurance
managerial
staff
support.
will
contribute
increased
efficiency
through
automation
routine
tasks,
enhanced
competitiveness
innovation,
optimised
cost
structures
that
increase
profitability,
expanded
opportunities
development.
