Latest developments of generative artificial intelligence and applications in ophthalmology
Xiaoru Feng,
No information about this author
Kezheng Xu,
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Mingjie Luo
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et al.
Asia-Pacific Journal of Ophthalmology,
Journal Year:
2024,
Volume and Issue:
13(4), P. 100090 - 100090
Published: July 1, 2024
The
emergence
of
generative
artificial
intelligence
(AI)
has
revolutionized
various
fields.
In
ophthalmology,
AI
the
potential
to
enhance
efficiency,
accuracy,
personalization
and
innovation
in
clinical
practice
medical
research,
through
processing
data,
streamlining
documentation,
facilitating
patient-doctor
communication,
aiding
decision-making,
simulating
trials.
This
review
focuses
on
development
integration
models
into
workflows
scientific
research
ophthalmology.
It
outlines
need
for
a
standard
framework
comprehensive
assessments,
robust
evidence,
exploration
multimodal
capabilities
intelligent
agents.
Additionally,
addresses
risks
model
application
service
including
data
privacy,
bias,
adaptation
friction,
over
interdependence,
job
replacement,
based
which
we
summarized
risk
management
mitigate
these
concerns.
highlights
transformative
enhancing
patient
care,
improving
operational
efficiency
also
advocates
balanced
approach
its
adoption.
Language: Английский
Application of Generative AI in Patient Engagement
Mohammad ZareiNejad,
No information about this author
Parisa Tavana
No information about this author
Published: Jan. 1, 2025
Language: Английский
Designing Funny Way
Advances in human and social aspects of technology book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 185 - 210
Published: Dec. 18, 2024
Localised
humour
helps
bridge
cultural
gaps
and
fosters
a
sense
of
connection
between
users
AI
systems.
It
has
the
potential
to
enrich
user
experience
by
making
interactions
with
systems
more
enjoyable
memorable.
When
localising
for
specific
region
like
Turkey,
understanding
what
constitutes
in
that
culture
is
crucial.
can
recognise
respond
appropriately
local
language
demonstrates
deeper
target
audience
strengthens
trust.
This
chapter
explores
how
generative
be
designed
understand
context
Turkish
analyzing
role
human-AI
Interaction
benefits
trust-building.
Qualitative
data
will
gathered
through
interviews
expert
opinions
from
perspective
semi-structured
experts.
Language: Английский