Advances in systems analysis, software engineering, and high performance computing book series,
Год журнала:
2023,
Номер
unknown, С. 276 - 294
Опубликована: Дек. 18, 2023
Colorectal
cancer
holds
a
prominent
place
on
the
global
health
landscape.
Its
early
detection
is
crucial
for
successful
patient
outcomes.
Histological
analysis
of
tissue
samples
plays
an
indispensable
role
in
diagnosing
and
classifying
colorectal
cancer.
Accurate
classification
paramount,
as
it
influences
choice
treatment
prognosis.
This
chapter
investigates
statistics
surrounding
cancer,
its
vital
healthcare
sector,
transformative
potential
artificial
intelligence
automating
diagnosis.
proposes
ShuffleNetV2-CRNN
(SCRNN),
novel
deep
learning
architecture
designed
from
histological
images.
SCRNN
combines
efficiency
ShuffleNetV2
feature
extraction
with
context-awareness
convolutional-recurrent
neural
network
precise
classification.
evaluated
against
chosen
models
–
Simple
CNN,
vGG16,
ResNet-18,
MobileNet.
Experimental
results
demonstrate
appreciable
performance
across
diverse
range
types.
Journal of Cellular Immunology,
Год журнала:
2023,
Номер
5(4), С. 127 - 140
Опубликована: Ноя. 29, 2023
Background:
Cancer
remains
a
leading
cause
of
mortality
with
modest
declines,
highlighting
the
need
for
more
efficacious
prevention
strategies
like
early
immunological
intervention
against
premalignant
disease.
Main
body
abstract:
Oncogenic
viruses
demonstrate
prophylactic
vaccines
can
successfully
reduce
malignancy
by
blocking
precipitating
infections.
However,
most
cancers
lack
viral
etiology,
requiring
novel
approaches
targeting
sporadic
precancerous
states
to
enable
immunoprevention.
Preneoplastic
tissues
exhibit
biological
changes
making
them
appealing
targets
stimulating
immune
surveillance
before
additional
mutations
unconstrained
proliferation.
High-risk
precancers
also
provide
sources
dysregulated
self-antigens.
Yet
challenges
exist
in
lesion
identification,
overcoming
tolerance,
and
avoiding
inflammation
potentially
worsening
progression.
Multidisciplinary
insights
into
precancer
immunology,
predictive
biomarkers,
antigen
discovery,
combinatorial
vaccination
are
illuminating
rational
vaccine
design.
Despite
obstacles,
immunization
dysplastic
holds
disruptive
potential
if
key
steps
advance
this
approach.
Elucidating
preneoplasia
immunobiology
progression
risk
modeling
will
be
critical
guide
productive
while
mitigating
immunotherapy
hazards.
Thoughtful
translation
could
eventually
shift
paradigms
priming
immunosurveillance
peak
vulnerability
lesions.
Short
Conclusion:
Advancements
may
profoundly
expand
horizons.
Cautious
intercept
toward
widely
disseminated
malignancies.
This
warrants
methodical
efforts
unravel
promise
thwarting
lethal
they
start.
Journal of Multidisciplinary Healthcare,
Год журнала:
2024,
Номер
Volume 17, С. 4011 - 4022
Опубликована: Авг. 1, 2024
Artificial
Intelligence
(AI)
holds
transformative
potential
for
the
healthcare
industry,
offering
innovative
solutions
diagnosis,
treatment
planning,
and
improving
patient
outcomes.
As
AI
continues
to
be
integrated
into
systems,
it
promises
advancements
across
various
domains.
This
review
explores
diverse
applications
of
in
healthcare,
along
with
challenges
limitations
that
need
addressed.
The
aim
is
provide
a
comprehensive
overview
AI's
impact
on
identify
areas
further
development
focus.
Computation,
Год журнала:
2024,
Номер
12(3), С. 47 - 47
Опубликована: Март 3, 2024
Pedigree
charts
remain
essential
in
oncological
genetic
counseling
for
identifying
individuals
with
an
increased
risk
of
developing
hereditary
tumors.
However,
this
valuable
data
source
often
remains
confined
to
paper
files,
going
unused.
We
propose
a
computer-aided
detection/diagnosis
system,
based
on
machine
learning
and
deep
techniques,
capable
the
following:
(1)
assisting
oncologists
digitizing
paper-based
pedigree
charts,
generating
new
digital
ones,
(2)
automatically
predicting
predisposition
directly
from
these
charts.
To
best
our
knowledge,
there
are
no
similar
studies
current
literature,
consequently,
utilization
software
artificial
intelligence
has
been
made
public
yet.
By
incorporating
medical
images
other
omics
sciences,
is
also
fertile
ground
training
additional
systems,
broadening
predictive
capabilities.
plan
bridge
gap
between
scientific
advancements
practical
implementation
by
modernizing
enhancing
existing
services.
This
would
mark
pioneering
development
AI-based
application
designed
enhance
various
aspects
counseling,
leading
improved
patient
care
field
oncogenetics.
Risk
evaluation
of
lymph
node
metastasis
for
early-stage
(T1
and
T2)
colorectal
cancers
is
critical
determining
therapeutic
strategies.
Traditional
methods
prediction
have
limited
accuracy.
This
systematic
review
aimed
to
the
potential
artificial
intelligence
in
predicting
cancers.
Tomography,
Год журнала:
2024,
Номер
10(11), С. 1814 - 1831
Опубликована: Ноя. 18, 2024
Advancements
in
artificial
intelligence
(AI)
have
significantly
transformed
the
field
of
abdominal
radiology,
leading
to
an
improvement
diagnostic
and
disease
management
capabilities.
This
narrative
review
seeks
evaluate
current
standing
AI
imaging,
with
a
focus
on
recent
literature
contributions.
work
explores
diagnosis
characterization
hepatobiliary,
pancreatic,
gastric,
colonic,
other
pathologies.
In
addition,
role
has
been
observed
help
differentiate
renal,
adrenal,
splenic
disorders.
Furthermore,
workflow
optimization
strategies
quantitative
imaging
techniques
used
for
measurement
tissue
properties,
including
radiomics
deep
learning,
are
highlighted.
An
assessment
how
these
advancements
enable
more
precise
diagnosis,
tumor
description,
body
composition
evaluation
is
presented,
which
ultimately
advances
clinical
effectiveness
productivity
radiology.
Despite
technical,
ethical,
legal
challenges
persist,
challenges,
as
well
opportunities
future
development,
International Journal of Colorectal Disease,
Год журнала:
2025,
Номер
40(1)
Опубликована: Март 18, 2025
Organ
preservation
through
a
watch-and-wait
(W&W)
strategy
has
become
viable
option
for
select
rectal
cancer
patients
with
clinical
complete
responses
(cCR)
to
total
neoadjuvant
therapy
(TNT).
This
approach
limits
the
morbidity
associated
multimodal
treatment.
However,
optimal
treatment
and
predictors
of
response
are
still
unresolved.
Rectal
incidence
is
rising,
particularly
in
developing
countries,
disease
major
public
health
concern
Chile.
Prior
no
operation
after
short-course
radiotherapy
followed
by
consolidation
chemotherapy
locally
advanced
(NOAHS-ARC)
trial,
TNT-based
treatments
W&W
programs
had
not
been
implemented
single-arm,
multicenter,
phase
II
prospective
conducted
Santiago,
Chile,
will
enroll
stage
II/III
adenocarcinoma.
Treatment
involves
induction
(25
Gy
5
fractions)
(FOLFOX
×
9
or
CAPOX
6
cycles).
The
be
assessed
4–8
weeks
completion.
Patients
achieving
cCR
offered
W&W,
while
those
incomplete
undergo
mesorectal
excision.
primary
endpoint
rate
tumor
response,
combining
pathologic
(pCR)
sustained
(>
1
year),
compared
matched
cohort
treated
chemoradiation
alone.
trial
aims
recruit
48
patients,
assuming
combined
pCR/sustained
12%.
Quality
life
measures
assessed,
biorepository
tissue
plasma
samples
established
future
research,
alongside
serial
endoscopic
MRI
images.
NOAHS-ARC
seeks
advance
organ
strategies
pioneering
TNT
protocols
study
also
focus
on
functional
outcomes
provide
valuable
data
improving
patient
care
both
globally.
ClinicalTrials.gov
identifier
NCT04864067.
Registered
April
28,
2021.
