medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 21, 2025
Abstract
Artificial
intelligence
(AI)
foundation
models
for
colour
fundus
photography
(CFP)
have
been
extensively
studied
and
demonstrated
great
potential
advancing
ocular
systemic
health
screening.
However,
their
high
computational
demands
limited
clinical
interpretability
constrain
real-world
application.
These
rely
on
self-supervised
learning
with
massive
unlabeled
datasets
to
address
the
scarcity
of
high-quality
annotations,
but
often
generate
irrelevant
features
fail
improve
due
absence
medical
knowledge
integration.
Thus,
we
propose
HRVRL,
a
lightweight,
knowledge-prompt
model
that
leverages
novel
hierarchical
representation
framework
based
retinal
biological
features.
Over
150,000
instances
were
generated
pretraining
through
multi-level
image
augmentation
267
vascular-labeled
images.
A
progressive
strategy
enables
HRVRL
capture
retinal-specific
from
coarse
fine
scales.
demonstrates
remarkable
resource
efficiency,
requiring
only
0.04
GB
memory,
processing
24
images
per
second,
completing
within
one
day
using
single
GPU.
It
outperforms
existing
in
20
downstream
tasks
related
disease
diagnosis
severity
grading.
also
offers
interpretability,
quantitative
assessments
showing
strong
concordance
between
predictions
criteria
outperforming
all
10
tasks.
In
diabetic
retinopathy
(DR)
analysis,
achieves
superior
diagnostic
lesion
recognition
(median
accuracy
0.710
versus
0.1–0.235
models;
P
<
0.001)
significant
improvements
type-specific
detection
under
zero-shot
setting
(18-fold
hemorrhages,
4-fold
microaneurysms,
hard
exudates,
soft
exudates;
0.001).
We
demonstrate
provides
clinically
interpretable
transparent
decision-making
processes
individual
cases.
conclusion,
unprecedented
efficiency
enhanced
enabling
practical
deployment
resource-limited
settings
diagnosis.
Nature,
Год журнала:
2023,
Номер
622(7981), С. 156 - 163
Опубликована: Сен. 13, 2023
Abstract
Medical
artificial
intelligence
(AI)
offers
great
potential
for
recognizing
signs
of
health
conditions
in
retinal
images
and
expediting
the
diagnosis
eye
diseases
systemic
disorders
1
.
However,
development
AI
models
requires
substantial
annotation
are
usually
task-specific
with
limited
generalizability
to
different
clinical
applications
2
Here,
we
present
RETFound,
a
foundation
model
that
learns
generalizable
representations
from
unlabelled
provides
basis
label-efficient
adaptation
several
applications.
Specifically,
RETFound
is
trained
on
1.6
million
by
means
self-supervised
learning
then
adapted
disease
detection
tasks
explicit
labels.
We
show
consistently
outperforms
comparison
prognosis
sight-threatening
diseases,
as
well
incident
prediction
complex
such
heart
failure
myocardial
infarction
fewer
labelled
data.
solution
improve
performance
alleviate
workload
experts
enable
broad
imaging.
Antioxidants,
Год журнала:
2024,
Номер
13(5), С. 504 - 504
Опубликована: Апрель 23, 2024
Despite
the
significant
progress
in
fields
of
biology,
physiology,
molecular
medicine,
and
pharmacology;
designation
properties
nitrogen
monoxide
regulation
life-supporting
functions
organism;
numerous
works
devoted
to
this
molecule,
there
are
still
many
open
questions
field.
It
is
widely
accepted
that
nitric
oxide
(•NO)
a
unique
molecule
that,
despite
its
extremely
simple
structure,
has
wide
range
body,
including
cardiovascular
system,
central
nervous
system
(CNS),
reproduction,
endocrine
respiration,
digestion,
etc.
Here,
we
systematize
•NO,
contributing
conditions
physiological
norms,
as
well
various
pathological
processes,
mechanisms
cytoprotection
cytodestruction.
Current
experimental
clinical
studies
contradictory
describing
role
•NO
pathogenesis
diseases
CNS.
We
describe
cytoprotective
action
associated
with
expression
antiapoptotic
chaperone
proteins
mitochondrial
function.
The
most
prominent
cytodestruction—the
initiation
nitrosative
oxidative
stresses,
production
reactive
oxygen
species,
participation
apoptosis
mitosis.
formation
endothelial
dysfunction
also
considered.
Moreover,
focus
on
ways
pharmacological
modulation
nitroxidergic
allow
for
decrease
cytodestructive
increase
ones.
Journal of sport and health science/Journal of Sport and Health Science,
Год журнала:
2023,
Номер
12(5), С. 568 - 591
Опубликована: Май 5, 2023
There
is
a
growing
interest
to
understand
the
neurobiological
mechanisms
that
drive
positive
associations
of
physical
activity
and
fitness
with
measures
cognitive
performance.
To
better
those
mechanisms,
several
studies
have
employed
eye-based
(e.g.,
eye
movement
such
as
saccades,
pupillary
pupil
dilation,
vascular
retinal
vessel
diameter)
deemed
be
proxies
for
specific
mechanisms.
However,
there
currently
no
systematic
review
providing
comprehensive
overview
these
in
field
exercise-cognition
science.
Thus,
this
aimed
address
gap
literature.
identify
eligible
studies,
we
searched
5
electronic
databases
on
October
23,
2022.
Two
researchers
independently
extracted
data
assessed
risk
bias
using
modified
version
Tool
assEssment
Study
qualiTy
reporting
EXercise
(TESTEX
scale,
interventional
studies)
critical
appraisal
tool
from
Joanna
Briggs
Institute
(for
cross-sectional
studies).
Our
(n
=
35
offers
following
main
findings:
(a)
insufficient
evidence
available
draw
solid
conclusions
concerning
gaze-fixation-based
measures;
(b)
pupillometric
measures,
which
are
proxy
noradrenergic
system,
can
explain
effect
acute
exercise
cardiorespiratory
performance
mixed;
(c)
training-
or
fitness-related
changes
cerebrovascular
system
(operationalized
via
vasculature)
are,
general,
positively
associated
improvements;
(d)
chronic
exercises
show
based
an
oculomotor-based
measure
executive
function
antisaccade
tasks);
(e)
association
between
partly
mediated
by
dopaminergic
spontaneous
eye-blink
rate).
This
confirmation
provide
valuable
insight
into
may
due
limited
number
utilizing
methods
obtaining
pupillometry,
analysis,
blink
rate)
investigating
possible
dose–response
relationship,
further
research
necessary
before
more
nuanced
drawn.
Given
economical
non-invasive,
hope
will
foster
future
application
Angiogenesis,
Год журнала:
2023,
Номер
26(4), С. 547 - 563
Опубликована: Июль 28, 2023
Post-COVID-19
syndrome
(PCS)
is
a
lingering
disease
with
ongoing
symptoms
such
as
fatigue
and
cognitive
impairment
resulting
in
high
impact
on
the
daily
life
of
patients.
Understanding
pathophysiology
PCS
public
health
priority,
it
still
poses
diagnostic
treatment
challenge
for
physicians.In
this
prospective
observational
cohort
study,
we
analyzed
retinal
microcirculation
using
Retinal
Vessel
Analysis
(RVA)
patients
compared
to
an
age-
gender-matched
healthy
(n
=
41,
matched
out
n
204).PCS
exhibit
persistent
endothelial
dysfunction
(ED),
indicated
by
significantly
lower
venular
flicker-induced
dilation
(vFID;
3.42%
±
1.77%
vs.
4.64%
2.59%;
p
0.02),
narrower
central
artery
equivalent
(CRAE;
178.1
[167.5-190.2]
189.1
[179.4-197.2],
0.01)
arteriolar-venular
ratio
(AVR;
(0.84
[0.8-0.9]
0.88
[0.8-0.9],
0.007).
When
combining
AVR
vFID,
predicted
scores
reached
good
ability
discriminate
groups
(area
under
curve:
0.75).
Higher
severity
correlated
(R
-
0.37
0.017).
The
association
microvascular
changes
were
amplified
exhibiting
higher
levels
inflammatory
parameters.Our
results
demonstrate
that
prolonged
hallmark
PCS,
impairments
seem
explain
As
potential
therapies
emerge,
RVA
parameters
may
become
relevant
clinical
biomarkers
diagnosis
therapy
management.This
study
was
previously
registered
at
ClinicalTrials
("All
Eyes
PCS-Analysis
Microvasculature
Patients
Syndrome".
NCT05635552.
https://clinicaltrials.gov/ct2/show/NCT05635552
).
Persistent
post-COVID-19
syndrome.
Acute
SARS-CoV-2
infection
indirectly
or
directly
causes
endotheliitis
N
41
recruited
vessel
analysis
performed
assess
function.
Images
SVA
DVA
are
illustrative
data
analysis.
For
each
patient
cohort,
diameter
three
measurement
cycles
calculated
plotted
diameter-time
curve.
exhibited
reduced
veins
(vFID)
measured
dynamic
(DVA)
arteriolar
(CRAE)
(AVR)
tendency
towards
(CRVE)
when
naïve
participants.
Created
BioRender.com.
Brain Communications,
Год журнала:
2024,
Номер
6(2)
Опубликована: Янв. 1, 2024
Abstract
Components
that
comprise
our
brain
parenchymal
and
cerebrovascular
structures
provide
a
homeostatic
environment
for
proper
neuronal
function
to
ensure
normal
cognition.
Cerebral
insults
(e.g.
ischaemia,
microbleeds
infection)
alter
cellular
physiologic
processes
within
the
neurovascular
unit
contribute
cognitive
dysfunction.
COVID-19
has
posed
significant
complications
during
acute
convalescent
stages
in
multiple
organ
systems,
including
brain.
Cognitive
impairment
is
prevalent
complication
patients,
irrespective
of
severity
SARS-CoV-2
infection.
Moreover,
overwhelming
evidence
from
vitro,
preclinical
clinical
studies
reported
SARS-CoV-2-induced
pathologies
components
are
associated
with
impairment.
Neurovascular
disruption
alters
coupling
response,
critical
mechanism
regulates
cerebromicrovascular
blood
flow
meet
energetic
demands
locally
active
neurons.
Normal
processing
achieved
through
response
involves
coordinated
action
cells
(i.e.
neurons
glia)
cell
types
endothelia,
smooth
muscle
pericytes).
However,
current
work
on
COVID-19-induced
yet
investigate
as
causal
factor.
Hence,
this
review,
we
aim
describe
SARS-CoV-2's
effects
how
they
can
impact
decline
disease.
Additionally,
explore
potential
therapeutic
interventions
mitigate
Given
great
both
individuals
public
health,
necessity
effort
fundamental
scientific
research
application
becomes
imperative.
This
integrated
endeavour
crucial
mitigating
deficits
induced
by
its
subsequent
burden
especially
vulnerable
population.
Biomedicines,
Год журнала:
2024,
Номер
12(9), С. 2150 - 2150
Опубликована: Сен. 23, 2024
Cardiovascular
diseases
(CVDs)
are
a
major
cause
of
mortality
globally,
emphasizing
the
need
for
early
detection
and
effective
risk
assessment
to
improve
patient
outcomes.
Advances
in
oculomics,
which
utilize
relationship
between
retinal
microvascular
changes
systemic
vascular
health,
offer
promising
non-invasive
approach
assessing
CVD
risk.
Retinal
fundus
imaging
optical
coherence
tomography/angiography
(OCT/OCTA)
provides
critical
information
diagnosis,
with
parameters
such
as
vessel
caliber,
tortuosity,
branching
patterns
identified
key
biomarkers.
Given
large
volume
data
generated
during
routine
eye
exams,
there
is
growing
automated
tools
aid
diagnosis
prediction.
The
study
demonstrates
that
AI-driven
analysis
images
can
accurately
predict
cardiovascular
factors,
events,
metabolic
diseases,
surpassing
traditional
diagnostic
methods
some
cases.
These
models
achieved
area
under
curve
(AUC)
values
ranging
from
0.71
0.87,
sensitivity
71%
89%,
specificity
40%
70%,
This
highlights
potential
component
personalized
medicine,
enabling
more
precise
earlier
intervention.
It
not
only
aids
detecting
abnormalities
may
precede
events
but
also
offers
scalable,
non-invasive,
cost-effective
solution
widespread
screening.
However,
article
emphasizes
further
research
standardize
protocols
validate
clinical
utility
these
biomarkers
across
different
populations.
By
integrating
oculomics
into
practice,
healthcare
providers
could
significantly
enhance
management
ultimately
improving
Fundus
image
thus
represents
valuable
tool
future
precision
medicine
health
management.
Cardiovascular
diseases
(CVDs)
remain
the
foremost
cause
of
mortality
globally,
emphasizing
imperative
for
early
detection
to
improve
patient
outcomes
and
mitigate
healthcare
burdens.
Carotid
intima-media
thickness
(CIMT)
serves
as
a
well-established
predictive
marker
atherosclerosis
cardiovascular
risk
assessment.
Fundus
imaging
offers
non-invasive
modality
investigate
microvascular
pathology
systemic
vascular
health.
However,
paucity
high-quality,
publicly
available
datasets
linking
fundus
images
with
CIMT
measurements
has
hindered
progression
AI-driven
models
CVDs.
Addressing
this
gap,
we
introduce
China-Fundus-CIMT
dataset,
comprising
bilateral
high-resolution
images,
measurements,
clinical
data-including
age
gender-from
2,903
patients.
Our
experiments
multimodal
reveal
that
integrating
information
substantially
enhances
performance,
yielding
AUC-ROC
increases
3.22%
7.83%
on
validation
test
sets,
respectively,
compared
unimodal
models.
This
dataset
constitutes
vital
resource
developing
validating
AI-based
screening
CVDs
using
is
now
accessible
research
community.
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(5), С. 501 - 501
Опубликована: Май 9, 2024
Cardiovascular
disease
(CVD)
is
the
most
frequent
cause
of
death
worldwide.
The
alterations
in
microcirculation
may
predict
cardiovascular
mortality.
retinal
vasculature
can
be
used
as
a
model
to
study
vascular
associated
with
disease.
In
order
quantify
microvascular
changes
non-invasive
way,
fundus
images
taken
and
analysed.
central
arteriolar
(CRAE),
venular
(CRVE)
diameter
arteriolar-to-venular
ratio
(AVR)
biomarkers
A
narrower
CRAE,
wider
CRVE
lower
AVR
have
been
increased
events.
Dynamic
vessel
analysis
(DRVA)
allows
quantification
using
digital
image
sequences
response
visual
stimulation
flicker
light.
This
article
not
just
review
current
literature,
it
also
aims
discuss
methodological
benefits
identify
research
gaps.
It
highlights
potential
use
for
screening
treatment
monitoring
Artificial
intelligence
(AI),
such
Quantitative
Analysis
Retinal
Topology
size
(QUARTZ),
SIVA–deep
learning
system
(SIVA-DLS),
seems
efficient
extracting
information
from
photographs
has
advantage
increasing
diagnosis
accuracy
improving
patient
care
by
complementing
role
physicians.
imaging
AI
help
risk,
an
important
tool
primary
prevention.
Further
should
explore
clinical
application
biomarkers,
assess
systemic
health
status,