Klinische Monatsblätter für Augenheilkunde,
Journal Year:
2024,
Volume and Issue:
241(12), P. 1309 - 1321
Published: Dec. 1, 2024
Zusammenfassung
Die
Entwicklung
der
sog.
künstlichen
Intelligenz
hat
in
den
letzten
Jahren
beeindruckende
Fortschritte
gemacht.
Neben
KI-gestützten
Suchsystemen
und
generativen
KI-Systemen
zur
Herstellung
von
Texten,
Bildern,
Videos
oder
musikalischen
Kompositionen
gibt
es
inzwischen
eine
Vielzahl
spezialisierter
Systeme,
die
Aufgaben
im
Bereich
wissenschaftlichen
Recherche,
Datenanalyse,
Textproduktion,
Textgestaltung,
Grammatikprüfung,
stilistischen
Überarbeitung,
Übersetzung,
Plagiatskontrolle
des
Reviewprozesses
übernehmen
bei
Erfüllung
dieser
unterstützen
sollen.
Der
Einsatz
solcher
Systeme
verspricht
vielerlei
Hinsicht
tatsächlich
sinnvolle
Arbeitserleichterungen
Vereinfachungen.
Da
KI-Systeme
jedoch
über
kein
genuines
Verständnis
ihnen
bearbeiteten
generierten
Inhalte
verfügen,
sondern
ein
solches
nur
simulieren,
indem
sie
statistische
Muster
reproduzieren,
aus
jeweiligen
Trainingsdaten
extrahiert
haben,
wäre
gefährlich,
blind
zu
vertrauen
unkritisch
nachlässig
einzusetzen.
In
diesem
Beitrag
werden
sowohl
Potenziale
als
auch
Gefahren
Einsatzes
KI
Kontext
Kommunikation
diskutiert
dabei
mögliche
systemische
Folgen
einer
breiten
Durchsetzung
Blick
genommen.
AI and Ethics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 21, 2024
Abstract
Scientists,
educators,
and
instructional
designers
are
facing
numerous
challenges
due
to
the
introduction
of
generative
AI
tools
that
can
create
appealing
realistic
imagery
based
on
text
prompts.
Given
realism
contributes
trustworthiness
images
coupled
with
people’s
eagerness
externalize
complex
tasks
systems,
problem
a
naive
arises
in
which
image
creation
optimization
is
offloaded
without
considering
limitations
AI-driven
technology.
However,
scientific
visualizations
used
for
educational
purposes
must
go
beyond
an
presentation;
above
all,
they
should
be
accurate
factually
correct.
We
argue
utilization
these
types
requires
human
oversight,
subject
matter
knowledge,
knowledge
effective
design.
In
particular,
we
warn
adoption
technological
possibilities
“optimize”
purposes,
such
as
memorability.
A
reductionist
view
AI-based
fails
take
into
account
prerequisites
learning
instruction
likely
have
negative
consequences.
AI & Society,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Abstract
The
integration
of
generative
artificial
intelligence
(AI),
particularly
large
language
models
like
ChatGPT,
presents
new
challenges
as
well
possibilities
for
scientific
authorship.
This
paper
draws
on
social
systems
theory
to
offer
a
nuanced
understanding
the
interplay
between
technology,
individuals,
society
and
scholarly
authorial
practices.
contrasts
with
orthodoxy,
where
individuals
technology
are
treated
essentialized
entities.
approach
offers
critique
binary
positions
sociotechnological
determinism
accelerationist
instrumentality
while
still
acknowledging
that
AI
profound
existing
practices
meaning
making
in
scholarship.
holistic
treatment
authorship,
integrity,
involves
comprehending
historical
evolutionary
entanglement
individuality,
practices,
technological
innovation.
addresses
current
needs
more
robust
theoretical
approaches
address
confronted
by
academicians,
institutions,
peer
review,
publication
processes.
Our
analysis
aims
contribute
sophisticated
discourse
ethical
practical
implications
research.
Subterranean Biology,
Journal Year:
2025,
Volume and Issue:
51, P. 1 - 19
Published: Feb. 25, 2025
Caves,
with
their
unique
geologic
and
biological
features,
have
inspired
human
imagination
throughout
history.
From
photography
to
movies,
through
comics,
painting,
poetry,
subterranean
ecosystems
feature
prominently
in
various
forms
of
artistic
expression,
often
incorporating
scientific
ideas
or
concepts.
Integrating
art
science
offers
a
powerful
way
convey
the
uniqueness
importance
organisms
that
inhabit
ecosystems,
emphasizing
as
providers
key
ecological
cultural
services.
This,
turn,
would
help
promote
conservation.
We
discuss
realized
unrealized
connections
between
biologists
artists,
aiming
achieve
broader
protection
for
ecosystems.
showcase
different
depict
environments,
explain
how
each
aligns
conservation
science,
highlight
mutual
benefits
artists
researchers
biology
can
derive
from
collaboration.
In
doing
so,
we
pose
two
important
questions:
How
effectively
bridge
divide
scientists
artists?
And
assess
effectiveness
enhancing
communication
about
conservation?
By
addressing
these
questions,
envision
future
where
intersect
safeguard
rich
diverse
heritage.
BMJ Health & Care Informatics,
Journal Year:
2025,
Volume and Issue:
32(1), P. e101244 - e101244
Published: April 1, 2025
Objectives
This
study
analyses
the
trend
of
artificial
intelligence
(AI)-related
publications
in
medical
field
over
past
decade
and
demonstrates
potential
AI
automating
data
analysis.
We
hypothesise
exponential
growth
AI-related
publications,
with
continuous
foreseeable
future.
Methods
Retrospective,
AI-assisted
analysis
was
conducted
using
OpenAI
application
programming
interface
for
collection
evaluation.
Publications
from
top
50
journals
(Web
Science,
Journal
Citation
Report,
2022)
covering
2014
to
June
2024.
A
total
315
209
papers
were
initially
retrieved
212
620
remaining
after
filtering.
The
outcomes
number
percentage
per
year,
future
trends
prediction
statistical
models.
Results
increased
approximately
500
1000
2022,
rising
2.5%
6%
identified
cardiology
oncology
as
leading
adoption.
Predictive
models
forecast
that
could
reach
10%
by
2030
long-term
projections
suggesting
dominance
presence
mid-22nd
century.
Discussion
highlights
significant
integration
research,
at
forefront.
proves
efficient
scalable
but
requires
human
oversight
maintain
credibility.
Conclusions
trajectory
indicates
substantial
across
disciplines.
Ongoing
evaluation
AI’s
reliability
applicability
research
remains
essential.
Journal of Visual Communication in Medicine,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 23
Published: May 16, 2025
The
field
of
visual
medical
communication
has
extensively
demonstrated
the
potential
benefits
using
images
to
communicate
health
and
scientific
concepts.
However,
it
is
still
unclear
which
specific
types
visuals
enhance
understanding
for
particular
audiences.
main
goal
this
study
identify
trends
in
how
style
features,
namely
levels
realism
detail,
affect
illustrations
by
different
target
A
systematic
review
was
conducted,
searching
following
literature
databases:
APA
PsycNet,
Biomedcentral,
DOAJ,
EBSCO,
ERIC,
JSTOR,
Pubmed,
Science
Direct,
Semantic
Scholar.
Twenty-six
original
research
articles
published
between
1986
2023
were
identified,
with
half
studies
conducted
USA
South
Africa.
current
body
evidence
supports
idea
that
simple
-
both
schematic
realistic
may
be
more
easily
understood
audiences,
particularly
lay
Nevertheless,
realistic,
detailed
appropriate
individuals
higher
literacy
or
professionals.
This
also
compiles
practical
tips
illustrators
communicators
create
effective
materials,
as
well
considerations
regarding
role
developing
illustrations.
