Large language models in patient education: a scoping review of applications in medicine
Serhat Aydın,
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Mert Karabacak,
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Victoria Vlachos
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et al.
Frontiers in Medicine,
Journal Year:
2024,
Volume and Issue:
11
Published: Oct. 29, 2024
Large
Language
Models
(LLMs)
are
sophisticated
algorithms
that
analyze
and
generate
vast
amounts
of
textual
data,
mimicking
human
communication.
Notable
LLMs
include
GPT-4o
by
Open
AI,
Claude
3.5
Sonnet
Anthropic,
Gemini
Google.
This
scoping
review
aims
to
synthesize
the
current
applications
potential
uses
in
patient
education
engagement.
Language: Английский
Adopting artificial intelligence for health information literacy: A literature review
Godwin Dzangare,
No information about this author
Thabo Ayibongwe Gulu
No information about this author
Information Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Purpose
–
Artificial
Intelligence
(AI)
is
increasingly
becoming
a
popular
source
of
information,
including
health
information.
It
essential
to
explore
the
adoption
AI
achieve
Health
Information
Literacy
(HIL)
and
ensure
that
users
maximise
use
This
study
explores
AI's
in
advancing
HIL.
identifies
gaps,
concerns,
challenges
suggests
areas
where
could
be
improved.
Approach
The
retrieved
papers
were
initially
assessed
based
on
title
abstract
inclusion
criteria.
full
text
relevant
was
verified
following
exclusion
Additionally,
comprehensive
assessment
reference
lists
included
performed.
extracted
from
selected
articles,
bibliometric
thematic
analysis
applied
for
thorough
examination.
Methodology
Key
details
about
author,
publication
year,
type,
purpose,
key
findings,
collected
using
standardised
format.
As
themes
emerged,
information
publications
address
main
research
questions.
All
articles
reviewed
English
published
between
2019
2024.
Findings
growing
HIL
can
accounted
by
growth
128.13%
publications.
However,
concerns
must
addressed
as
continuous
guaranteed.
Originality
likely
first
assess
current
findings
will
provide
clear
landscape
investing,
identifying
partners,
providing
gap.
Language: Английский
Improving Patient Understanding of Glomerular Disease Terms With ChatGPT
Yasir Abdelgadir,
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Charat Thongprayoon,
No information about this author
Iasmina Craici
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et al.
International Journal of Clinical Practice,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Background:
Glomerular
disease
is
complex
and
difficult
for
patients
to
understand,
as
it
involves
various
pathophysiology,
immunology,
pharmacology
areas.
Objective:
This
study
explored
whether
ChatGPT
can
maintain
accuracy
while
simplifying
glomerular
terms
enhance
patient
comprehension.
Methods:
67
related
were
analyzed
using
GPT‐4
through
two
distinct
queries.
One
aimed
at
a
general
explanation
another
tailored
with
an
education
level
of
8th
grade
or
lower.
GPT‐4’s
was
scored
from
1
(incorrect)
5
(correct
comprehensive).
Its
readability
assessed
the
Consensus
Reading
Grade
(CRG)
Level,
which
incorporates
seven
indices
including
Flesch–Kincaid
(FKG)
SMOG
indices.
Flesch
Ease
(FRE)
score,
ranging
0
100
higher
scores
indicating
easier‐to‐read
text,
also
used
evaluate
readability.
A
paired
t
‐test
conducted
assess
differences
in
levels
between
different
Results:
explanations
averaged
college
level,
indicated
by
CRG
score
14.1
FKG
13.9.
index
topic’s
complexity,
11.8.
When
below
8
th
‐grade
reading
improved,
averaging
9.7
8.7
7.3
score.
The
FRE
further
improvement
31.6
63.5
explanations.
However,
significantly
lower
than
that
(4.2
±
0.4
versus
4.7
0.3,
p
<
0.0001).
Conclusion:
While
effectively
simplified
information
about
diseases,
compromised
its
process.
To
implement
these
findings,
we
suggest
pilot
studies
clinical
settings
understanding,
feedback
diverse
groups
customize
content,
expanding
research
AI
reduce
biases,
setting
strict
ethical
guidelines
healthcare,
integrating
health
informatics
systems
provide
educational
content
patients.
approach
will
promote
effective
use
tools
like
education,
empowering
make
informed
decisions.
Language: Английский
Assessing the ability of ChatGPT to generate French patient-facing information to improve patient understanding in hand surgery
Camille Brenac,
No information about this author
Danae Kawamoto-Duran,
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Alexander Z. Fazilat
No information about this author
et al.
Annales de Chirurgie Plastique Esthétique,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 1, 2025
Language: Английский
Assessing the Usability of ChatGPT Responses Compared to Other Online Information in Hand Surgery
Hand,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 12, 2025
ChatGPT
is
a
natural
language
processing
tool
with
potential
to
increase
accessibility
of
health
information.
This
study
aimed
to:
(1)
assess
usability
online
medical
information
for
hand
surgery
topics;
and
(2)
evaluate
the
influence
consensus.
Three
phrases
were
posed
20
times
each
Google,
ChatGPT-3.5,
ChatGPT-4.0:
"What
cause
carpal
tunnel
syndrome?"
(high
consensus),
tennis
elbow?"
(moderate
"Platelet-rich
plasma
thumb
arthritis?"
(low
consensus).
Readability
was
assessed
by
grade
level
while
reliability
accuracy
scored
based
on
predetermined
rubrics.
Scores
compared
via
Mann-Whitney
U
tests
alpha
set
.05.
Google
responses
had
superior
readability
moderate-high
consensus
topics
(P
<
.0001)
an
average
eighth-grade
reading
college
sophomore
ChatGPT.
Low
poor
throughout.
ChatGPT-4
similar
but
significantly
inferior
ChatGPT-3.5
low
.01).
There
no
significant
difference
in
between
sources.
differing
coverage
disease
.05)
procedure
details/efficacy/alternatives
anatomy
pathophysiology.
Compared
does
not
provide
readable
when
providing
reliable
While
patients
can
modulate
prompt
engineering,
this
requires
insight
into
their
literacy
additional
barrier
accessing
Medical
influences
both
Providers
should
remain
aware
limitations
distributing
Language: Английский
AI in plastic surgery: customizing care for each patient
Camille Brenac,
No information about this author
Alexander Z. Fazilat,
No information about this author
M R Mohammadi Fallah
No information about this author
et al.
Artificial Intelligence Surgery,
Journal Year:
2024,
Volume and Issue:
4(4), P. 296 - 315
Published: Oct. 14, 2024
Artificial
intelligence
(AI)
and
machine
learning
(ML)
involve
the
usage
of
complex
algorithms
to
identify
patterns,
predict
future
outcomes,
generate
new
data,
perform
other
tasks
that
typically
require
human
intelligence.
AI
tools
have
been
progressively
adopted
by
multiple
disciplines
surgery,
enabling
increasingly
patient-specific
care,
as
well
more
precise
surgical
modeling
assessment.
For
instance,
such
ChatGPT
applied
enhance
both
patient
educational
materials
patient-surgeon
communication.
Additionally,
helped
support
pre-
postoperative
assessment
in
a
diverse
set
procedures,
including
breast
reconstructions,
facial
surgeries,
hand
wound
healing
operations,
burn
surgeries.
Further,
ML-supported
3D
has
now
utilized
for
planning
may
also
be
combined
with
printing
technologies
patient-customized,
implantable
constructs.
Ultimately,
advent
its
intersection
practice
demonstrated
immense
potential
transform
care
making
facets
process
efficient,
precise,
patient-specific.
Language: Английский
ChatGPT-4 Can Help Hand Surgeons Communicate Better With Patients: Comment
Journal of Hand Surgery Global Online,
Journal Year:
2024,
Volume and Issue:
6(5), P. 674 - 674
Published: June 27, 2024
Language: Английский
Artificial intelligence as an adjunctive tool in hand and wrist surgery: a review
Said Dababneh,
No information about this author
Justine Colivas,
No information about this author
Nadine Dababneh
No information about this author
et al.
Artificial Intelligence Surgery,
Journal Year:
2024,
Volume and Issue:
4(3), P. 214 - 32
Published: Sept. 2, 2024
Artificial
intelligence
(AI)
is
currently
utilized
across
numerous
medical
disciplines.
Nevertheless,
despite
its
promising
advancements,
AI’s
integration
in
hand
surgery
remains
early
stages
and
has
not
yet
been
widely
implemented,
necessitating
continued
research
to
validate
efficacy
ensure
safety.
Therefore,
this
review
aims
provide
an
overview
of
the
utilization
AI
surgery,
emphasizing
current
application
clinical
practice,
along
with
potential
benefits
associated
challenges.
A
comprehensive
literature
search
was
conducted
PubMed,
Embase,
Medline,
Cochrane
libraries,
adhering
Preferred
reporting
items
for
systematic
reviews
meta-analyses
(PRISMA)
guidelines.
The
focused
on
identifying
articles
related
utilizing
multiple
relevant
keywords.
Each
identified
article
assessed
based
title,
abstract,
full
text.
primary
1,228
articles;
after
inclusion/exclusion
criteria
manual
bibliography
included
articles,
a
total
98
were
covered
review.
wrist
diagnostic,
which
includes
fracture
detection,
carpal
tunnel
syndrome
(CTS),
avascular
necrosis
(AVN),
osteoporosis
screening.
Other
applications
include
residents’
training,
patient-doctor
communication,
surgical
assistance,
outcome
prediction.
Consequently,
very
tool
that
though
further
necessary
fully
integrate
it
into
practice.
Language: Английский