Enhanced lithology identification with few-shot well-logging data using a Confidence-Enhanced Semi-Supervised Meta-Learning Approach
Measurement,
Journal Year:
2025,
Volume and Issue:
unknown, P. 116762 - 116762
Published: Jan. 1, 2025
Language: Английский
The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review
Khadiza Tun Suha,
No information about this author
Hugh Lubenow,
No information about this author
Stefania Soria-Zurita
No information about this author
et al.
Medicina,
Journal Year:
2025,
Volume and Issue:
61(4), P. 561 - 561
Published: March 21, 2025
Artificial
intelligence
(AI)
is
rapidly
gaining
attention
in
radiology
and
cardiology
for
accurately
diagnosing
structural
heart
disease.
In
this
review
paper,
we
first
outline
the
technical
background
of
AI
echocardiography
then
present
an
array
clinical
applications,
including
image
quality
control,
cardiac
function
measurements,
defect
detection,
classifications.
Collectively,
answer
how
integrating
technologies
can
help
improve
detection
congenital
defects.
Particularly,
superior
sensitivity
AI-based
(CHD)
fetus
(>90%)
allows
it
to
be
potentially
translated
into
workflow
as
effective
screening
tool
obstetric
setting.
However,
current
still
have
many
limitations,
more
technological
developments
are
required
enable
these
reach
their
full
potential.
Also,
diagnostic
should
resolve
ethical
concerns.
Otherwise,
deploying
may
not
address
low-resource
populations’
healthcare
access
disadvantages.
Instead,
will
further
exacerbate
disparities.
We
envision
that,
through
combination
tele-echocardiography
AI,
medical
facilities
gain
CHD
at
prenatal
stage.
Language: Английский
Mechanism of action of “cistanche deserticola–Polygala” in treating Alzheimer's disease based on network pharmacology methods and molecular docking analysis
IET Systems Biology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 11, 2024
Abstract
This
article
used
network
pharmacology,
molecular
docking,
GEO
analysis,
and
Gene
Set
Enrichment
Analysis
to
obtain
38
main
chemical
components
66
corresponding
targets
involved
in
Alzheimer's
disease
(AD)
treatment
"Cistanche
deserticola‐Polygala".
Through
further
Ontology
Kyoto
Encyclopaedia
of
Genes
Genomes
enrichment
we
obtained
AD
signalling
pathways,
calcium
other
pathways
related
the
with
“Cistanche
deserticola‐Polygala”.
Molecular
docking
showed
that
most
core
had
good
binding
ability
targets.
aims
reveal
mechanism
deserticola‐Polygala”
treating
provide
a
basis
for
Language: Английский