Cardiology in the Young,
Год журнала:
2024,
Номер
unknown, С. 1 - 6
Опубликована: Ноя. 11, 2024
Multimodal
imaging
is
crucial
for
diagnosis
and
treatment
in
paediatric
cardiology.
However,
the
proficiency
of
artificial
intelligence
chatbots,
like
ChatGPT-4,
interpreting
these
images
has
not
been
assessed.
This
cross-sectional
study
evaluates
precision
ChatGPT-4
multimodal
cardiology
knowledge
assessment,
including
echocardiograms,
angiograms,
X-rays,
electrocardiograms.
One
hundred
multiple-choice
questions
with
accompanying
from
textbook
JMIR Medical Informatics,
Год журнала:
2024,
Номер
12, С. e54345 - e54345
Опубликована: Июль 3, 2024
Artificial
intelligence
(AI)
chatbots
have
recently
gained
use
in
medical
practice
by
health
care
practitioners.
Interestingly,
the
output
of
these
AI
was
found
to
varying
degrees
hallucination
content
and
references.
Such
hallucinations
generate
doubts
about
their
implementation.
Advanced Intelligent Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 11, 2024
Large
language
models
(LLMs)
are
artificial
intelligence
(AI)
platforms
capable
of
analyzing
and
mimicking
natural
processing.
Leveraging
deep
learning,
LLM
capabilities
have
been
advanced
significantly,
giving
rise
to
generative
chatbots
such
as
Generative
Pre‐trained
Transformer
(GPT).
GPT‐1
was
initially
released
by
OpenAI
in
2018.
ChatGPT's
release
2022
marked
a
global
record
speed
technology
uptake,
attracting
more
than
100
million
users
two
months.
Consequently,
the
utility
LLMs
fields
including
engineering,
healthcare,
education
has
explored.
The
potential
LLM‐based
higher
sparked
significant
interest
ignited
debates.
can
offer
personalized
learning
experiences
advance
asynchronized
potentially
revolutionizing
education,
but
also
undermine
academic
integrity.
Although
concerns
regarding
AI‐generated
output
accuracy,
spread
misinformation,
propagation
biases,
other
legal
ethical
issues
not
fully
addressed
yet,
several
strategies
implemented
mitigate
these
limitations.
Here,
development
LLMs,
properties
chatbots,
applications
discussed.
Current
challenges
associated
with
AI‐based
outlined.
potentials
chatbot
use
context
settings
The
introduction
of
OpenAI's
ChatGPT-4omni
(GPT-4o)
represents
a
potential
advancement
in
virtual
healthcare
and
telemedicine.
GPT-4o
excels
processing
audio,
visual,
textual
data
real
time,
offering
possible
enhancements
understanding
natural
language
both
English
non-English
contexts.
Furthermore,
the
new
"Temporary
Chat"
feature
may
improve
privacy
confidentiality
during
interactions,
potentially
increasing
integration
with
systems.
These
innovations
promise
to
enhance
communication
clarity,
facilitate
medical
images,
increase
online
consultations.
This
editorial
explores
some
future
implications
these
advancements
for
telemedicine,
highlighting
necessity
further
research
on
reliability
advanced
models
human
expertise.
The
rapid
evolution
of
generative
artificial
intelligence
(AI)
has
introduced
transformative
technologies
across
various
domains,
with
text-to-video
(T2V)
generation
models
emerging
as
innovations
in
the
field.
This
narrative
review
explores
potential
T2V
AI
used
healthcare,
focusing
on
their
applications,
challenges,
and
future
directions.
Advanced
platforms,
such
Sora
Turbo
(OpenAI,
Inc.,
San
Francisco,
California,
United
States)
Veo
2
(Google
LLC,
Mountain
View,
States),
both
announced
December
2024,
offer
capability
to
generate
high-fidelity
video
contents.
Such
could
revolutionize
healthcare
by
providing
tailored
videos
for
patient
education,
enhancing
medical
training,
possibly
optimizing
telemedicine.
We
conducted
a
comprehensive
literature
search
databases
including
PubMed
Google
Scholar,
identified
41
relevant
studies
published
between
2020
2024.
Our
findings
reveal
significant
possible
benefits
improving
standardizing
customized
remote
consultations.
However,
critical
challenges
persist,
risks
misinformation
(or
deepfake),
privacy
breaches,
ethical
concerns,
limitations
authenticity.
Detection
mechanisms
deepfakes
regulatory
frameworks
remain
underdeveloped,
necessitating
further
interdisciplinary
research
vigilant
policy
development.
Future
advancements
enable
real-time
visualizations
augmented
reality
training.
achieving
these
will
require
addressing
accessibility
ensure
equitable
implementation
prevent
disparities.
By
fostering
collaboration
among
stakeholders,
systems
technologists,
transform
global
into
more
effective,
universal,
innovative
system
while
safeguarding
against
its
misuse.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e57037 - e57037
Опубликована: Авг. 20, 2024
Background
ChatGPT
is
a
natural
language
processing
model
developed
by
OpenAI,
which
can
be
iteratively
updated
and
optimized
to
accommodate
the
changing
complex
requirements
of
human
verbal
communication.
Objective
The
study
aimed
evaluate
ChatGPT’s
accuracy
in
answering
orthopedics-related
multiple-choice
questions
(MCQs)
assess
its
short-term
effects
as
learning
aid
through
randomized
controlled
trial.
In
addition,
long-term
on
student
performance
other
subjects
were
measured
using
final
examination
results.
Methods
We
first
evaluated
MCQs
pertaining
orthopedics
across
various
question
formats.
Then,
129
undergraduate
medical
students
participated
group
used
tool,
while
control
was
prohibited
from
artificial
intelligence
software
support
learning.
Following
2-week
intervention,
2
groups’
understanding
assessed
an
test,
variations
disciplines
noted
follow-up
at
end
semester.
Results
ChatGPT-4.0
answered
1051
with
70.60%
(742/1051)
rate,
including
71.8%
(237/330)
for
A1
MCQs,
73.7%
(330/448)
A2
70.2%
(92/131)
A3/4
58.5%
(83/142)
case
analysis
MCQs.
As
April
7,
2023,
total
individuals
experiment.
However,
19
withdrew
experiment
phases;
thus,
July
1,
110
accomplished
trial
completed
all
work.
After
we
intervened
style
short
term,
more
correctly
than
(ChatGPT
group:
mean
141.20,
SD
26.68;
130.80,
25.56;
P=.04)
particularly
46.57,
8.52;
42.18,
9.43;
P=.01),
60.59,
10.58;
56.66,
9.91;
P=.047),
19.57,
5.48;
16.46,
4.58;
P=.002).
At
semester,
found
that
performed
better
examinations
surgery
76.54,
9.79;
72.54,
8.11;
P=.02)
obstetrics
gynecology
75.98,
8.94;
8.66;
group.
Conclusions
answers
accurately,
it
excel
both
assessments.
Our
findings
strongly
integration
into
education,
enhancing
contemporary
instructional
methods.
Trial
Registration
Chinese
Clinical
Registry
Chictr2300071774;
https://www.chictr.org.cn/hvshowproject.html
?id=225740&v=1.0
Expert Review of Medical Devices,
Год журнала:
2024,
Номер
21(9), С. 797 - 809
Опубликована: Сен. 1, 2024
The
rapid
advancement
of
technology
and
the
integration
innovative
medical
devices
are
significantly
transforming
education.
This
review
examines
impact
these
changes
importance
adapting
educational
strategies
to
leverage
advancements.
Diagnostic and Interventional Radiology,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 19, 2024
To
evaluate
the
performance
of
Microsoft
Bing
with
ChatGPT-4
technology
in
analyzing
abdominal
computed
tomography
(CT)
and
magnetic
resonance
images
(MRI).
To
utilize
artificial
intelligence
(AI)
platforms
to
generate
medical
illustrations
for
refractive
surgeries,
aiding
patients
in
visualizing
and
comprehending
procedures
like
laser-assisted
situ
keratomileusis
(LASIK),
photorefractive
keratectomy
(PRK),
small
incision
lenticule
extraction
(SMILE).
This
study
displays
the
current
performance
of
two
OpenAI
programs
terms
their
accuracy
common
corneal
procedures.
