Advancements in Digital Cytopathology Since COVID-19: Insights from a Narrative Review of Review Articles
Healthcare,
Journal Year:
2025,
Volume and Issue:
13(6), P. 657 - 657
Published: March 17, 2025
Background/Objectives:
The
integration
of
digitalization
in
cytopathology
is
an
emerging
field
with
transformative
potential,
aiming
to
enhance
diagnostic
precision
and
operational
efficiency.
This
narrative
review
reviews
(NRR)
seeks
identify
prevailing
themes,
opportunities,
challenges,
recommendations
related
the
process
cytopathology.
Methods:
Utilizing
a
standardized
checklist
quality
control
procedures,
this
examines
recent
advancements
future
implications
domain.
Twenty-one
studies
were
selected
through
systematic
process.
Results:
results
highlight
key
trends,
digital
First,
study
identifies
pivotal
themes
that
reflect
ongoing
technological
transformation,
guiding
focus
areas
field.
A
major
trend
artificial
intelligence
(AI),
which
increasingly
critical
improving
accuracy,
streamlining
workflows,
assisting
decision
making.
Notably,
AI
technologies
like
large
language
models
(LLMs)
chatbots
are
expected
provide
real-time
support
automate
tasks,
though
concerns
around
ethics
privacy
must
be
addressed.
also
emphasize
need
for
protocols,
comprehensive
training,
rigorous
validation
ensure
tools
reliable
effective
across
clinical
settings.
Lastly,
holds
significant
potential
improve
healthcare
accessibility,
especially
remote
areas,
by
enabling
faster,
more
efficient
diagnoses
fostering
global
collaboration
telepathology.
Conclusions:
Overall,
highlights
impact
cytopathology,
efficiency,
accessibility
whole-slide
imaging
While
plays
role,
broader
on
integrating
solutions
workflows
collaboration.
Addressing
challenges
such
as
standardization,
ethical
considerations
crucial
fully
realize
these
advancements.
Language: Английский
Surveying the Digital Cytology Workflow in Italy: An Initial Report on AI Integration Across Key Professional Roles
Healthcare,
Journal Year:
2025,
Volume and Issue:
13(8), P. 903 - 903
Published: April 14, 2025
Background:
The
integration
of
artificial
intelligence
(AI)
in
healthcare,
particularly
digital
cytology,
has
the
potential
to
enhance
diagnostic
accuracy
and
workflow
efficiency.
However,
AI
adoption
remains
limited
due
technological
human-related
barriers.
Understanding
perceptions
experiences
healthcare
professionals
is
essential
for
overcoming
these
challenges
facilitating
effective
implementation.
Objectives:
This
study
aimed
assess
cytology
workflows
by
evaluating
professionals’
perspectives
on
its
benefits,
challenges,
requirements
successful
adoption.
Methods:
A
survey
was
conducted
among
150
working
public
private
settings
Italy,
including
laboratory
technicians
(35%),
medical
doctors
(25%),
biologists
(20%),
specialists
technical
sciences
(20%).
Data
were
collected
through
a
structured
Computer-Assisted
Web
Interview
(CAWI)
Virtual
Focus
Group
(VFG)
capture
quantitative
qualitative
insights
familiarity,
perceived
advantages,
barriers
Results:
findings
indicated
varying
levels
familiarity
professionals.
While
many
recognized
AI’s
improve
streamline
workflows,
concerns
raised
regarding
resistance
change,
implementation
costs,
doubts
about
reliability.
Participants
emphasized
need
training
continuous
support
facilitate
cytology.
Conclusions:
Addressing
such
as
resistance,
cost,
trust
workflows.
Tailored
programs
ongoing
professional
can
adoption,
ultimately
optimizing
processes
improving
clinical
outcomes
Language: Английский