Artificial Intelligence in the Management of Malnutrition in Cancer Patients: A Systematic Review
Advances in Nutrition,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100438 - 100438
Published: May 1, 2025
Malnutrition
is
a
critical
complication
among
cancer
patients,
affecting
up
to
80%
of
individuals
depending
on
type,
stage,
and
treatment.
Artificial
Intelligence
(AI)
has
emerged
as
promising
tool
in
healthcare,
with
potential
applications
nutritional
management
improve
early
detection,
risk
stratification,
personalized
interventions.
This
systematic
review
evaluates
the
role
AI
identifying
managing
malnutrition
focusing
its
effectiveness
status
assessment,
prediction,
clinical
outcomes,
body
composition
monitoring.
A
search
was
conducted
across
PubMed,
Cochrane
Library,
Cumulative
Index
Nursing
Allied
Health
Literature,
Excerpta
Medica
Database
from
June
July
2024,
following
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses
guidelines.
Quantitative
primary
studies
investigating
AI-based
interventions
analysis,
optimization
oncology
were
included.
Study
quality
assessed
using
Joanna
Briggs
Institute
(JBI)
Critical
Appraisal
Tools,
evidence
certainty
evaluated
Oxford
Centre
Evidence-Based
Medicine
framework.
Eleven
(n=52,228
patients)
met
inclusion
criteria
categorized
into
three
overarching
domains:
Nutritional
Status
Assessment
Prediction,
Clinical
Functional
Outcomes,
Body
Composition
Cachexia
Monitoring.
models
demonstrated
high
predictive
accuracy
detection
(AUC
>0.80).
Machine
learning
algorithms,
including
decision
trees,
random
forests,
support
vector
machines,
outperformed
conventional
screening
tools.
Deep
applied
medical
imaging
achieved
segmentation
(Dice
Similarity
Coefficient:
0.92-0.94),
enabling
cachexia
detection.
AI-driven
virtual
dietitian
systems
improved
dietary
adherence
(84%)
reduced
unplanned
hospitalizations.
AI-enhanced
workflows
streamlined
referrals,
reducing
referral
times
by
2.4
days.
significant
optimizing
screening,
monitoring,
patients.
Its
integration
nutrition
care
could
enhance
patient
outcomes
optimize
healthcare
resource
allocation.
Further
research
necessary
standardize
ensure
applicability.
10.17605/OSF.IO/A259M
STATEMENT
OF
SIGNIFICANCE:
highlights
transformative
demonstrating
superior
Unlike
previous
studies,
which
focused
isolated
applications,
this
work
comprehensively
multiple
domains,
emphasizing
their
routine
treatment
personalization,
overall
outcomes.
Language: Английский
Functionalization of Chocolate: Current Trends and Approaches to Health-Oriented Nutrition
Processes,
Journal Year:
2025,
Volume and Issue:
13(5), P. 1431 - 1431
Published: May 7, 2025
Expanding
the
range
of
healthy
food
products
is
one
most
promising
areas
in
field
science.
In
recent
years,
there
has
been
an
active
development
global
trend
functional
nutrition
aimed
at
strengthening
general
health,
as
well
preventing
common
non-communicable
diseases
and
metabolic
disorders.
Chocolate,
occupying
a
leading
position
among
confectionery
products,
continues
to
demonstrate
steady
growth
consumption
on
scale,
which
due
its
unique
taste
sensory
properties.
Modern
trends
industry
are
further
improving
composition
properties
chocolate,
makes
it
object
for
scientific
research
innovative
developments.
This
review
devoted
systematization
study
modern
developing
types
chocolate
that
meet
principles
nutrition.
The
paper
considers
potential
bioactive
components,
such
polyphenols,
probiotics,
prebiotic
dietary
fiber,
polyunsaturated
fatty
acids,
plant
extracts,
use
functionalization
chocolate.
These
compounds
have
pronounced
antioxidant,
anti-inflammatory,
antimicrobial,
cardioprotective
Particular
attention
paid
role
components
cocoa
prevention
chronic
diseases,
cardiovascular
system,
cognitive
functions,
normalizing
intestinal
microbiota.
addition,
production
technologies
solutions
creating
with
improved
consumer
considered.
relevance
these
developments
growing
demand
combine
high
qualities
functionality,
opens
up
new
opportunities
health-oriented
Language: Английский