Acta medica Lituanica,
Journal Year:
2024,
Volume and Issue:
31(2), P. 294 - 301
Published: Dec. 26, 2024
Artificial
intelligence
models
human
thinking
and
problem-solving
abilities,
allowing
computers
to
make
autonomous
decisions.
There
is
a
lack
of
studies
demonstrating
the
clinical
utility
GPT
Gemin
in
field
toxicology,
which
means
their
level
competence
not
well
understood.
This
study
compares
responses
given
by
GPT-3.5
those
provided
emergency
medicine
residents.
prospective
was
focused
on
toxicology
utilized
widely
recognized
educational
resource
'Tintinalli
Emergency
Medicine:
A
Comprehensive
Study
Guide'
for
Medicine.
set
twenty
questions,
each
with
five
options,
devised
test
knowledge
toxicological
data
as
defined
book.
These
questions
were
then
used
train
ChatGPT
(Generative
Pre-trained
Transformer
3.5)
OpenAI
Gemini
Google
AI
clinic.
The
resulting
answers
meticulously
analyzed.
28
physicians,
35.7%
whom
women,
included
our
study.
comparison
made
between
physician
scores.
While
significant
difference
found
(F=2.368
p<0.001),
no
two
groups
post-hoc
Tukey
test.
mean
score
9.9±0.71,
11.30±1.17
and,
physicians'
9.82±3.70
(Figure
1).
It
clear
that
respond
similarly
topics
just
resident
physicians
do.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 14, 2024
The
utility
of
machine
learning,
specifically
large
language
models
(LLMs),
in
the
medical
field
has
gained
considerable
attention.
However,
there
is
a
scarcity
studies
that
focus
on
application
LLMs
generating
custom
subspecialty
radiology
impressions.
primary
objective
this
study
to
evaluate
and
compare
performance
multiple
specialized,
accurate,
clinically
useful
impressions
for
degenerative
cervical
spine
MRI
reports.
Journal of Multidisciplinary Healthcare,
Journal Year:
2024,
Volume and Issue:
Volume 17, P. 5831 - 5851
Published: Dec. 1, 2024
The
aim
of
this
study
is
to
develop
and
validate
a
deep-learning
radiomics
model
for
predicting
surgical
risk
factors
lumbar
disc
herniation
(LDH)
in
young
patients
assist
clinicians
identifying
candidates,
alleviating
symptoms,
improving
prognosis.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 758 - 776
Published: Jan. 1, 2024
Generative
artificial
intelligence
(AI)
is
increasingly
integrated
into
higher
education,
offering
advanced
opportunities
for
personalized
learning
and
tailored
approaches
that
address
students’
specific
needs.
This
study
examines
the
influence
of
generative
AI
on
education
Generation
Z,
emphasizing
its
role
in
fostering
critical
thinking,
psychological
implications,
potential
to
transform
traditional
pedagogical
methods.
Employing
a
methodological
framework
systematic
literature
review
analysis
national
international
studies,
findings
reveal
can
significantly
enhance
student
motivation
engagement.
Personalized
content
delivery
facilitates
supports
successful
completion
complex
academic
tasks,
promoting
development
analytical
metacognitive
skills
necessary
navigating
intricate
information
landscapes.
However,
over-reliance
risks
diminishing
independent
problem-solving
abilities,
underscoring
need
balanced
integration
this
technology
educational
practices.
The
further
highlights
challenges
such
as
digital
overload,
which
may
adversely
affect
mental
health,
reduced
social
competence
due
decreased
human
interaction.
In
response,
strategic
implementation
recommended,
designed
optimize
benefits
while
mitigating
emotional
development.
should
be
leveraged
supportive
tool
experience,
with
strong
focus
ethical
standards
holistic
growth.
Its
effective
technical,
cognitive,
social,
dimensions
learning,
contributing
sustainable
students
era.
Acta medica Lituanica,
Journal Year:
2024,
Volume and Issue:
31(2), P. 294 - 301
Published: Dec. 26, 2024
Artificial
intelligence
models
human
thinking
and
problem-solving
abilities,
allowing
computers
to
make
autonomous
decisions.
There
is
a
lack
of
studies
demonstrating
the
clinical
utility
GPT
Gemin
in
field
toxicology,
which
means
their
level
competence
not
well
understood.
This
study
compares
responses
given
by
GPT-3.5
those
provided
emergency
medicine
residents.
prospective
was
focused
on
toxicology
utilized
widely
recognized
educational
resource
'Tintinalli
Emergency
Medicine:
A
Comprehensive
Study
Guide'
for
Medicine.
set
twenty
questions,
each
with
five
options,
devised
test
knowledge
toxicological
data
as
defined
book.
These
questions
were
then
used
train
ChatGPT
(Generative
Pre-trained
Transformer
3.5)
OpenAI
Gemini
Google
AI
clinic.
The
resulting
answers
meticulously
analyzed.
28
physicians,
35.7%
whom
women,
included
our
study.
comparison
made
between
physician
scores.
While
significant
difference
found
(F=2.368
p<0.001),
no
two
groups
post-hoc
Tukey
test.
mean
score
9.9±0.71,
11.30±1.17
and,
physicians'
9.82±3.70
(Figure
1).
It
clear
that
respond
similarly
topics
just
resident
physicians
do.
