Non-Male Factor Only—ICSI Can Overcome Oocyte Factor in PCOS Patients
Yasmin Shibli Abu Raya,
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Nardin Aslih,
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Yuval Atzmon
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et al.
Journal of Clinical Medicine,
Journal Year:
2025,
Volume and Issue:
14(1), P. 244 - 244
Published: Jan. 3, 2025
Background:
In
this
research,
we
retrospectively
studied
the
influence
of
IVF
vs.
ICSI
technique
on
embryo
morphokinetics
by
means
a
time-lapse
incubator
in
fresh
cycles.
Methods:
A
total
2645
treatment
cycles
resulting
ovum
pick-up
11,471
fertilized
oocytes
were
included
research
from
2018
to
2022.
The
embryos
grouped
according
or
ICSI.
Embryonic
development
was
monitored
using
incubator,
and
they
transferred
day
3
5.
Results:
group
developed
faster
had
less
fragmentation.
However,
fewer
2PNs
achieved
more
discarded
compared
IVF.
When
sibling
treated
with
either
analyzed,
found
that
resulted
quicker
higher
KIDScores.
Discussion:
anovulation
PCOS
subgroups
primary
contributors
high
KIDScores
oocytes,
indicating
might
have
beneficial
effects
oocyte
factors,
similar
positive
results
it
provides
when
male
factors
are
involved.
Conclusions:
Women
undergoing
better
used
spontaneous
This
study
reveals
is
superior
female
factor
infertility.
Language: Английский
Merging synthetic and real embryo data for advanced AI predictions
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 21, 2025
Accurate
embryo
morphology
assessment
is
essential
in
assisted
reproductive
technology
for
selecting
the
most
viable
embryo.
Artificial
intelligence
has
potential
to
enhance
this
process.
However,
limited
availability
of
data
presents
challenges
training
deep
learning
models.
To
address
this,
we
trained
two
generative
models
using
datasets—one
created
and
made
publicly
available,
one
existing
public
dataset—to
generate
synthetic
images
at
various
cell
stages,
including
2-cell,
4-cell,
8-cell,
morula,
blastocyst.
These
were
combined
with
real
train
classification
stage
prediction.
Our
results
demonstrate
that
incorporating
alongside
improved
performance,
model
achieving
97%
accuracy
compared
94.5%
when
solely
on
data.
This
trend
remained
consistent
tested
an
external
Blastocyst
dataset
from
a
different
clinic.
Notably,
even
exclusively
data,
achieved
high
92%.
Furthermore,
combining
both
yielded
better
than
single
model.
Four
embryologists
evaluated
fidelity
through
Turing
test,
during
which
they
annotated
inaccuracies
offered
feedback.
The
analysis
showed
diffusion
outperformed
adversarial
network,
deceiving
66.6%
versus
25.3%
lower
Fréchet
inception
distance
scores.
Language: Английский
Human embryo stage classification using an enhanced R(2 + 1)D model and dynamic programming with optimized datasets
Biomedical Signal Processing and Control,
Journal Year:
2025,
Volume and Issue:
107, P. 107841 - 107841
Published: March 28, 2025
Language: Английский
Morphometric Blastocyst Assessment: A Retrospective Study Examining the Relationship Between Blastocyst Diameter and Area and Pregnancy Outcomes in Assisted Reproduction Technology Cycles
Journal of Clinical Medicine,
Journal Year:
2025,
Volume and Issue:
14(8), P. 2827 - 2827
Published: April 19, 2025
Objective:
In
assisted
reproductive
technology
(ART),
achieving
a
successful
pregnancy
requires
optimizing
an
embryo
culture
and
selecting
the
single
with
highest
implantation
potential,
capable
of
resulting
in
healthy
pregnancy.
The
primary
goal
this
study
was
to
determine
correlation
between
blastocyst
area
diameter
outcomes
ART
treatments.
Methods:
study,
were
measured
whether
these
morphometric
features
could
predict
couples
undergoing
ICSI.
This
is
retrospective
trial
analyzing
665
patients
who
underwent
cycle
transfer
on
day
5.
Results:
Both
assessed
significantly
associated
ongoing
outcomes.
Our
results
showed
that
rate
(IR)
clinical
(CPR)
higher
≥
25,000
µm2
compared
<25,000
(IR:
69.8%
versus
47.9%,
p
<
0.001;
CPR:
65.5%
45.9%
0.001).
Additionally,
170
µm
resulted
IR
CPR
embryos
68.8%
36.6%,
66.3
35.7%,
Conclusions:
Blastocyst
variables,
being
objective
measurable,
are
not
subject
intra-operator
variability
may
serve
as
promising
predictors
viability
success.
These
assessments
assist
embryologists
potential
from
cohort,
well
identifying
those
reduced
chance
generating
Language: Английский