Chinese Medical Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 18, 2024
With
the
rapid
development
of
artificial
intelligence
technology,
its
applications
in
medical
imaging
have
become
increasingly
extensive.
This
review
aimed
to
analyze
current
status
and
future
direction
intelligent
technology
by
investigating
application
various
departments.
To
achieve
this,
we
conducted
a
comprehensive
search
data
sources
up
2024,
including
PubMed,
Web
Science,
Google
Scholar,
based
on
principle
search.
A
total
332
articles
were
screened,
after
applying
inclusion
exclusion
criteria,
56
selected
for
this
study.
According
findings,
exhibits
robust
image
recognition
capabilities,
making
it
applicable
across
diverse
modalities
within
hospital
offers
an
efficient
solution
analysis
images
extracting
accurately
identifying
complex
features.
Consequently,
significantly
aids
detection
diagnosis
clinical
diseases.
Its
high
accuracy,
sensitivity,
specificity
render
indispensable
tool
diagnostics
related
tasks,
thereby
enhancing
overall
quality
healthcare
services.
The
enhances
efficiency
diagnostics,
resulting
more
accurate
timely
patient
assessments.
advanced
faster
precise
diagnostic
approach,
ultimately
improving
care
outcomes.
analyzed
socioeconomic
changes
brought
about
provide
evaluation.
Also,
systematically
shortcomings
directions,
enable
research.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(10), P. e0312725 - e0312725
Published: Oct. 29, 2024
Comprehensive
research
on
the
impact
of
various
types
refractive
errors
(RE)
and
anisometropia
dry
eye
disease
is
still
lacking.
This
study
aimed
to
estimate
prevalence
rates
potential
lifestyle
factors
related
symptomatic
(SDE)
among
adolescents
in
eastern
China.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 10, 2024
Abstract
AIM
To
explore
the
factors
causing
structural
abnormalities
of
meibomian
gland
in
pediatric
population.
METHODS
Two-hundred
children
were
enrolled
to
evaluate
morphology
gland.
Demographic
and
clinical
information
collected.
Symptoms
dry
eye
disease
(DED)
assessed
with
ocular
surface
index
(OSDI)
questionnaire.
Meibography
was
performed
grading
images
by
a
5-point
meiboscale
(0–4)
for
atrophy
3-point
score
(0–2)
tortuosity.
RESULTS
200
eyes
participants
aged
10–18
years
(13.10
±
2.39
years)
imaged.
Most
patients
had
1,
130
(65%)
meiboscore
138
(69%)
The
BMI
category
showed
significant
difference
increase
weight,
BMI,
OSDI
BUT.
tortuosity
age
BMI.
Gender
no
effect
on
meiboscore,
category.
Besides,
BUT
affected
OSDI.
significantly
correlated
percentile.
CONCLUSION
In
this
population,
become
higher
decrease
BUT,
became
more
serious
Therefore,
we
should
pay
attention
overweight
tructure
reduce
risk
meibomain
dysfunction
(MGD).
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(23), P. 11307 - 11307
Published: Dec. 4, 2024
Background:
Occupational
risk
assessments
of
VDT
users
are
usually
hindered
by
the
variability
tasks
that
office
workers
perform.
Digital
eye
strain
is
related
to
amount
work
time
dedicated
screen
fixation.
Purpose:
This
study
aimed
improve
assessment
introducing
an
advanced
version
software
developed
at
University
Brescia.
Methods:
The
prototype
enables
recording
times
in
front
and
those
which
operator
actively
fixes.
It
was
tested
on
30
employees
from
different
offices.
system
includes
a
webcam
placed
over
workers’
screens
connected
with
laptop
running
specifically
monitoring
software.
experiment
required
worker-to-worker
calibration
investigators.
Results:
obtained
data
allowed
us
distinguish
between
period
fixation
presence
monitor.
visual
activity
varied
greatly
daily
basis
because
differences
tasks.
mean
facial
detection
approximately
48%,
whereas
29%.
Conclusions:
results
suggest
our
promising
tool
for
investigating
relative
contributions
development
digital
occupational
strain.
Chinese Medical Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 18, 2024
With
the
rapid
development
of
artificial
intelligence
technology,
its
applications
in
medical
imaging
have
become
increasingly
extensive.
This
review
aimed
to
analyze
current
status
and
future
direction
intelligent
technology
by
investigating
application
various
departments.
To
achieve
this,
we
conducted
a
comprehensive
search
data
sources
up
2024,
including
PubMed,
Web
Science,
Google
Scholar,
based
on
principle
search.
A
total
332
articles
were
screened,
after
applying
inclusion
exclusion
criteria,
56
selected
for
this
study.
According
findings,
exhibits
robust
image
recognition
capabilities,
making
it
applicable
across
diverse
modalities
within
hospital
offers
an
efficient
solution
analysis
images
extracting
accurately
identifying
complex
features.
Consequently,
significantly
aids
detection
diagnosis
clinical
diseases.
Its
high
accuracy,
sensitivity,
specificity
render
indispensable
tool
diagnostics
related
tasks,
thereby
enhancing
overall
quality
healthcare
services.
The
enhances
efficiency
diagnostics,
resulting
more
accurate
timely
patient
assessments.
advanced
faster
precise
diagnostic
approach,
ultimately
improving
care
outcomes.
analyzed
socioeconomic
changes
brought
about
provide
evaluation.
Also,
systematically
shortcomings
directions,
enable
research.