Medical Teacher,
Год журнала:
2024,
Номер
unknown, С. 1 - 14
Опубликована: Окт. 31, 2024
Background
With
the
advancement
of
Artificial
Intelligence
(AI),
it
has
had
a
profound
impact
on
medical
education.
Understanding
advantages
and
issues
AI
in
education,
providing
guidance
for
educators,
overcoming
challenges
implementation
process
is
particularly
important.
Data & Metadata,
Год журнала:
2024,
Номер
3, С. 268 - 268
Опубликована: Янв. 1, 2024
Introduction:
currently,
the
integration
of
innovative
technologies
plays
a
crucial
role
in
students'
academic
formation.
In
this
context,
ChatGPT
emerges
as
cutting-edge
tool
with
potential
to
transform
educational
experience.Objective:
assess
attitude
university
students
towards
use
learning
resource.Methods:
quantitative
study,
non-experimental
design
and
observational
descriptive
type.
The
sample
was
determined
through
simple
random
sampling
consisted
269
both
genders
who
were
administered
Attitudes
Use
Scale,
an
instrument
adequate
metric
properties.Results:
resource
predominantly
rated
at
medium
level,
affective,
cognitive,
behavioral
dimensions.
This
suggests
that
enjoy
using
their
process
consider
it
facilitates
improves
experience.
However,
they
expressed
concern
about
possibility
generating
inaccurate
results.Conclusions:
level.
Likewise,
progressed
training,
developed
more
favorable
JMIR Medical Education,
Год журнала:
2025,
Номер
11, С. e63065 - e63065
Опубликована: Янв. 3, 2025
There
has
been
a
rise
in
the
popularity
of
ChatGPT
and
other
chat-based
artificial
intelligence
(AI)
apps
medical
education.
Despite
data
being
available
from
parts
world,
there
is
significant
lack
information
on
this
topic
education
research,
particularly
Saudi
Arabia.
The
primary
objective
study
was
to
examine
familiarity,
usage
patterns,
attitudes
Alfaisal
University
students
toward
AI
This
cross-sectional
conducted
October
8,
2023,
through
November
22,
2023.
A
questionnaire
distributed
social
media
channels
at
who
were
18
years
or
older.
Current
1
6,
both
genders,
exclusively
targeted
by
questionnaire.
approved
Institutional
Review
Board.
χ2
test
assess
relationships
between
gender,
year
study,
reasons
for
usage.
total
293
responses
received,
which
95
(32.4%)
men
198
(67.6%)
women.
236
(80.5%)
preclinical
57
(19.5%)
clinical
students,
respectively.
Overall,
males
(n=93,
97.9%)
showed
more
familiarity
with
compared
females
(n=180,
90.09%;
P=.03).
Additionally,
also
used
Google
Bard
Microsoft
Bing
than
(P<.001).
Clinical-year
significantly
general
writing
purposes
(P=.005).
136
(46.4%)
believed
that
using
coursework
ethical,
86
(29.4%)
neutral,
71
(24.2%)
considered
it
unethical
(all
Ps>.05).
Familiarity
common
among
University.
patterns
these
differ
clinical-year
students.
Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine,
Год журнала:
2025,
Номер
unknown, С. 100841 - 100841
Опубликована: Фев. 1, 2025
With
over
61%
of
Americans
seeking
health
information
online,
the
accuracy
and
readability
this
content
are
critical.
AI
tools,
like
ChatGPT,
have
gained
popularity
in
providing
medical
information,
but
concerns
remain
about
their
accessibility,
especially
for
individuals
with
lower
literacy
levels.
This
study
compares
ChatGPT-generated
from
American
Academy
Orthopedic
Surgery
(AAOS)
OrthoInfo
website,
focusing
on
rotator
cuff
injuries.
We
formulated
seven
frequently
asked
questions
injuries,
based
gathered
responses
both
ChatGPT-4
OrthoInfo.
Readability
was
assessed
using
multiple
metrics
(Flesch-Kincaid,
Gunning
Fog,
Coleman-Liau,
SMOG
Formula,
FORCAST
Fry
Graph,
Raygor
Estimate),
while
evaluated
by
three
independent
reviewers.
Statistical
analysis
included
t-tests
correlation
analysis.
ChatGPT
required
a
higher
education
level
to
comprehend,
an
average
grade
14.7,
compared
OrthoInfo's
11.9
(p
<
0.01).
The
Flesch
Reading
Ease
Index
indicated
that
(52.5)
more
readable
than
ChatGPT's
(25.9,
p
Both
sources
had
high
accuracy,
slightly
question
further
damage
0.05).
shows
promise
delivering
accurate
may
not
be
suitable
all
patients
due
its
complexity.
A
combination
expert-reviewed,
accessible
enhance
patient
understanding
literacy.
Future
developments
should
focus
improving
AI's
adaptability
different
IV.
Український радіологічний та онкологічний журнал,
Год журнала:
2025,
Номер
33(1), С. 113 - 128
Опубликована: Март 31, 2025
Background.
In
the
context
of
globalization
digital
technologies,
including
artificial
intelligence
(AI)
and
chatbots,
issue
ensuring
academic
integrity
in
medical
research
protection
against
pseudoscientific
results
plagiarism
is
becoming
increasingly
relevant.
Purpose
–
тo
characterize
modern
perspectives
on
multifaceted
phenomenon
research.
Materials
Methods.
To
achieve
objective,
analytical
methods
were
used
to
process
scientific
publications
from
international
resources
such
as
Scopus,
Web
Science
Core
Collection,
NCBI
PubMed,
well
Vernadsky
National
Library
Ukraine,
regulatory
documents
other
publications.
The
study
period
covered
2014–2024.
search
strategy
was
based
key
terms
«academic
plagiarism»,
«plagiarism
AND
medicine»,
«ChatGPT
«artificial
plagiarism».
Scientific
articles
application
ChatGPT
began
appearing
2023.
total,
for
topic
288
found
WoS,
493
100
PubMed.
Regarding
topics,
significantly
fewer
found:
61
173
87
selection
criteria
included
exclusion
duplicates
relevance
article's
plagiarism,
with
preference
given
review
articles.
Results.
characterized
role
particularly
ChatGPT,
plagiarism.
main
functions
scientists
outlined,
types
using
AI
characterized,
risks
chatbots
highlighted,
etc.
An
assessment
made
danger
potential
impact
quality
articles,
guiding
principles
well-known
organizations
regarding
publications,
particular
Committee
Publication
Ethics
World
Association
Medical
Editors
editors
presented.
legal
aspect
problem,
emphasis
placed
correlation
between
«idea»
«form»
a
work
important
elements
qualifying
violation
rights.
detection
tools,
their
capabilities,
significance
fight
also
provided.
Conclusions.
development
presents
new
opportunities
science
while
simultaneously
posing
challenges
related
integrity.
AI-based
facilitate
creation
This
necessitates
approaches
detecting
preventing
misconduct.
Addressing
this
requires
coordinated
efforts
authors,
journals,
educational
institutions,
technology
developers.
Our
provides
an
overview
possibilities
ethical
use
by
researchers
environment.
particular,
importance
following
emphasized:
creating
support
structures
Ukraine
prevent
misconduct;
expanding
initiatives
aimed
at
teaching
how
effectively
ethically
integrate
into
processes;
balance
tool
accelerate
adhering
principles.
Special
attention
should
be
integrating
research,
field
among
most
critical
society.
Zeitschrift für Rheumatologie,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 10, 2024
Zusammenfassung
Einführung
Der
Chatbot
ChatGPT
stellt
einen
Meilenstein
in
der
Interaktion
zwischen
Menschen
und
großen,
über
das
Internet
zugänglichen
Datenbanken
dar.
Er
ermöglicht
mit
einer
Kommunikation
Alltagssprache
die
Beantwortung
komplexer
Fragen
ist
damit
potenziell
eine
Informationsquelle
für
Betroffene
rheumatischer
Erkrankungen.
Ziel
Untersuchung
war
es
herauszufinden,
ob
(Version
3.5)
Lage
ist,
qualifizierte
Antworten
zur
Anwendbarkeit
von
Verfahren
Komplementär-
Alternativmedizin
(CAM;
Homöopathie,
Ayurveda,
Phytotherapie)
bei
rheumatoider
Arthritis
(RA),
systemischem
Lupus
erythematodes
(SLE)
Granulomatose
Polyangiitis
(GPA)
zu
liefern.
Außerdem
wurde
untersucht,
welchen
Einfluss
Art
Fragestellung
auf
erhaltenen
Ergebnisse
haben
könnte.
Methodik
Die
Befragung
erfolgte
3
Abschnitten.
In
Abschnitt
A
offene
Frage
Behandlungsmöglichkeiten
einem
Krankheitsbilder
gestellt.
B
allgemein
nach
möglichen
Anwendungen
CAM
Erkrankungen
gefragt.
C
wurden
Applikationsmöglichkeiten
genannten
jede
Diagnose
erfragt.
den
Abschnitten
jeweils
2
Modifikationen
erste
fragte
danach,
überhaupt
anwendbar
ist.
zweite
erkundigte
sich
konkreten
aus
Verfahren.
Validität
anhand
des
Reliability
Scores,
7‑stufigen
Likert-Skala,
ausgewertet.
Zu
offenen
im
lieferte
validesten
Ergebnisse.
zahlreiche
CAM-Anwendungen
vorgeschlagen,
nicht
durch
wissenschaftliche
Evidenz
gestützt
sind.
diesen
waren
deutlich
abhängig.
Suggerierte
Anwendungsabsicht
CAM,
entfielen
häufig
Hinweise
fehlende
Evidenz,
Qualität
Antwort
meisten
Fällen
schlechter
bewertet.
Schlussfolgerung
Anwendung
definierten
rheumatischen
lassen
ausreichende
vermissen.
Zudem
beeinflusst
Aussagen
erheblich.
Eine
kritiklose
als
Instrument
Patientenschulung
kann
derzeit
empfohlen
werden.