Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions
Advances in Medical Education and Practice,
Год журнала:
2024,
Номер
Volume 15, С. 857 - 871
Опубликована: Сен. 1, 2024
Artificial
intelligence
(AI)
chatbots
excel
in
language
understanding
and
generation.
These
models
can
transform
healthcare
education
practice.
However,
it
is
important
to
assess
the
performance
of
such
AI
various
topics
highlight
its
strengths
possible
limitations.
This
study
aimed
evaluate
ChatGPT
(GPT-3.5
GPT-4),
Bing,
Bard
compared
human
students
at
a
postgraduate
master's
level
Medical
Laboratory
Sciences.
Язык: Английский
Development and Evaluation of an AI-Assisted Answer Assessment (4A) for Cognitive Assessments in Nursing Education
Nursing Reports,
Год журнала:
2025,
Номер
15(3), С. 80 - 80
Опубликована: Фев. 26, 2025
Artificial
intelligence
(AI)
can
potentially
enhance
cognitive
assessment
practices
in
maternal
and
child
health
nursing
education.
Objectives:
To
evaluate
the
reliability,
accuracy
precision,
external
validity
of
an
AI-assisted
answer
(4A)
program
for
assessments
Methods:
This
study
is
a
validation
study.
Initially,
170
students
from
northern
Thailand
participated,
with
52
randomly
selected
detailed
testing.
Agreement
testing
between
4A
human
experts
was
conducted
using
intraclass
correlation
coefficient
(ICC).
Accuracy
precision
compared
scores
expert
via
McNemar
test.
External
involved
138
participants
to
compare
program’s
against
national
examination
outcomes
logistic
regression.
Results:
Results
indicated
high
level
consistency
(ICC
=
0.886).
With
0.808
0.913,
expert’s
0.923
1.000.
The
test
(χ2
0.4,
p
0.527)
showed
no
significant
difference
evaluation
performance
AI
experts.
Higher
on
significantly
predicted
success
(OR:
1.124,
0.031).
Conclusions:
demonstrates
potential
reliably
assessing
students’
abilities
predicting
exam
success.
advocates
continued
integration
educational
importance
refining
systems
better
align
traditional
methods.
Язык: Английский
The performance of OpenAI ChatGPT-4 and Google Gemini in virology multiple-choice questions: a comparative analysis of English and Arabic responses
BMC Research Notes,
Год журнала:
2024,
Номер
17(1)
Опубликована: Сен. 3, 2024
Язык: Английский
Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach
European Journal of Medical and Health Research,
Год журнала:
2025,
Номер
3(2), С. 104 - 121
Опубликована: Март 20, 2025
Rural
Bangladesh
is
confronted
with
substantial
healthcare
obstacles,
such
as
inadequate
infrastructure,
information
systems,
and
restricted
access
to
medical
personnel.
These
obstacles
impede
effective
disease
control
pandemic
preparedness.
This
investigation
employs
a
structured
methodology
develop
analyze
numerous
plausible
scenarios
systematically.
A
purposive
sampling
strategy
was
implemented,
which
involved
the
administration
of
questionnaire
survey
264
rural
residents
in
Rangamati
district
completion
distinct
by
103
The
impact
effectiveness
study
are
assessed
through
logistic
regression
analysis
pre-post
comparison
that
Wilcoxon
Signed-Rank
test
Kendall's
coefficient
for
non-parametric
paired
categorical
variables.
evaluates
evolution
preparedness
prior
subsequent
implementation
Generative
AI-Based
Model
4.0.
results
indicate
trust
AI
(β
=
1.20,
p
0.020)
confidence
sharing
health
data
9.049,
most
significant
predictors
adoption.
At
same
time,
infrastructure
limitations
digital
constraints
continue
be
constraints.
concludes
resilience
marginalized
populations
can
improved
AI-driven,
localized
strategies.
integration
into
systems
offers
transformative
opportunity,
but
it
contingent
upon
active
community
engagement,
enhanced
literacy,
strong
government
involvement.
Язык: Английский