Quantitative analysis of optic disc changes in school-age children with ametropia based on artificial intelligence
Fang Liu,
No information about this author
Xing-Hui Yu,
No information about this author
Yuchuan Wang
No information about this author
et al.
International Journal of Ophthalmology,
Journal Year:
2023,
Volume and Issue:
16(11), P. 1727 - 1733
Published: Oct. 25, 2023
To
explore
changes
in
the
optic
disc
and
peripapillary
atrophy
(PPA)
school-age
children
with
ametropia
using
color
fundus
photography
combined
artificial
intelligence
(AI)
technology.Based
on
retrospective
case-controlled
study,
226
eyes
of
113
aged
6-12y
were
enrolled
from
October
2021
to
May
2022.
According
results
spherical
equivalent
(SE),
divided
into
four
groups:
low
myopia
group
(66
eyes),
moderate
(60
high
(50
eyes)
emmetropia
control
eyes).
All
subjects
underwent
un-aided
visual
acuity,
dilated
pupil
optometry,
best-corrected
acuity
(BCVA),
intraocular
pressure,
ocular
axis
measurement
photography.The
width
PPA,
horizontal
diameter
ratio
PPA
area
significantly
different
among
groups
(P<0.05).
The
nasal
temporal
neuroretinal
rim,
roundness
disc,
height
vertical
average
density
compared
other
three
There
strong
negative
correlations
between
SE
(r=-0.812,
P<0.001)
positive
correlation
axial
length
(AL)
(r=0.736,
P<0.001).In
myopia,
rims
are
narrowed
even
lost,
which
have
sensitivity.
could
be
used
as
an
early
predictor
progression,
is
great
significance
for
development
prevention
management
myopia.
Language: Английский
A retinal detachment based strabismus detection through FEDCNN
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Oct. 6, 2024
Ocular
strabismus,
a
common
condition
in
the
present
generation
is
an
absolute
risk
factor
for
amblyopia
and
blinding
premorbid
visual
loss.
Despite
availability
of
new
optometry
tools
with
eye-tracking
data,
issues
persist
attaining
accuracy
reliability
diagnosing
strabismus.
These
two
concerns
are
specifically
accommodated
this
study
by
proposed
novel
approach
that
involves
CNNs
datasets
from
subjects.
The
presented
work
aims
to
improve
diagnostics
ophthalmology
utilizing
integration
further
algorithms
into
automatic
strabismus
detection
system.
For
purpose,
FedCNN
model
combines
CNN
eXtreme
Gradient
Boosting
(XGBoost)
uses
Gaze
deviation
(GaDe)
images
capture
dynamic
eye
movements.
This
method
tries
make
feature
extraction
as
accurate
possible
its
best
working
state
enhance
diagnosis
precision.
proves
be
accurate,
reaching
95.2%,
which
even
more
prominent
because
or
less
detailed
connection
layer
CNN,
used
selection
features
designated
such
tasks
recognition.
has
potential
shifting
diseases
eyes
half
patients.
Language: Английский
Quantitative analysis of retinal vascular parameters changes in school-age children with refractive error using artificial intelligence
Frontiers in Medicine,
Journal Year:
2024,
Volume and Issue:
11
Published: Dec. 31, 2024
Aim
To
quantitatively
analyze
the
relationship
between
spherical
equivalent
refraction
(SER)
and
retinal
vascular
changes
in
school-age
children
with
refractive
error
by
applying
fundus
photography
combined
artificial
intelligence
(AI)
technology
explore
structural
vasculature
these
children.
Methods
We
conducted
a
retrospective
case–control
study,
collecting
data
on
113
cases
involving
226
eyes
of
schoolchildren
aged
6–12
years
who
attended
outpatient
clinics
our
hospital
October
2021
May
2022.
Based
refraction,
we
categorized
participants
into
four
groups:
66
low
myopia
group,
60
intermediate
50
high
control
group.
All
underwent
series
examinations,
including
naked-eye
best-corrected
visual
acuity,
cycloplegic
intraocular
pressure
measurement,
ocular
axial
measurement
(AL),
color
photography.
Using
photography,
analyzed
arteriovenous
ratio
(AVR),
average
curvature,
density
AI
technology.
Data
were
using
χ
2
test
one-way
analysis
variance.
Results
The
AVR
moderate
group
0.80
±
0.05,
0.04,
0.76
0.79
respectively,
vessel
densities
0.1024
0.0076,
0.0074,
0.0880
0.0126,
0.1037
0.0143,
respectively
difference
was
statistically
significant
compared
to
other
three
groups
(
p
<
0.05).
Linear
correlation
showed
strong
negative
axis
r
=
−0.874,
0001),
positive
0.527,
−0.452,
0001).
Conclusion
Schoolchildren
decreased
vasculature.
may
be
early
predictors
progression.
Language: Английский
Artificial Intelligence-Enabled Low-Cost Photorefraction for Accurate Refractive Error Measurement Under Complex Ambient Lighting Conditions: A Model Development and Validation Study
Published: Jan. 1, 2024
Language: Английский
None
Fang Liu,
No information about this author
Xing-Hui Yu,
No information about this author
Yuchuan Wang
No information about this author
et al.
International Journal of Ophthalmology,
Journal Year:
2023,
Volume and Issue:
16(11)
Published: Oct. 25, 2023
AIM:
To
explore
changes
in
the
optic
disc
and
peripapillary
atrophy
(PPA)
school-age
children
with
ametropia
using
color
fundus
photography
combined
artificial
intelligence
(AI)
technology.•
METHODS:
Based
on
retrospective
case-controlled
study,
226
eyes
of
113
aged
6-12y
were
enrolled
from
October
2021
to
May
2022.According
results
spherical
equivalent
(SE),
divided
into
four
groups:
low
myopia
group
(66
eyes),
moderate
(60
high
(50
eyes)
emmetropia
control
eyes).All
subjects
underwent
un-aided
visual
acuity,
dilated
pupil
optometry,
best-corrected
acuity
(BCVA),
intraocular
pressure,
ocular
axis
measurement
photography.•
RESULTS:
The
width
PPA,
horizontal
diameter
ratio
PPA
area
significantly
different
among
groups
(P<0.05).The
nasal
temporal
neuroretinal
rim,
roundness
disc,
height
vertical
average
density
compared
other
three
(P<0.05).There
strong
negative
correlations
between
SE
(r=-0.812,P<0.001)
positive
correlation
axial
length
(AL)
(r=0.736,P<0.001).•
CONCLUSION:
In
myopia,
rims
are
narrowed
even
lost,
which
have
sensitivity.The
could
be
used
as
an
early
predictor
progression,
is
great
significance
for
development
prevention
management
myopia.
Language: Английский