Deleted Journal,
Journal Year:
2023,
Volume and Issue:
20(3), P. 370 - 395
Published: May 2, 2023
With
the
vigorous
development
of
artificial
intelligence
(AI),
applications
based
on
deep
neural
networks
(DNNs)
have
changed
people's
lifestyles
and
production
efficiency.
However,
large
amount
computation
data
generated
from
network
edge
becomes
major
bottleneck,
traditional
cloud-based
computing
mode
has
been
unable
to
meet
requirements
realtime
processing
tasks.
To
solve
above
problems,
by
embedding
AI
model
training
inference
capabilities
into
edge,
(EI)
a
cutting-edge
direction
in
field
AI.
Furthermore,
collaborative
DNN
among
cloud,
end
devices
provides
promising
way
boost
EI.
Nevertheless,
at
present,
EI
oriented
is
still
its
early
stage,
lacking
systematic
classification
discussion
existing
research
efforts.
Motivated
it,
we
comprehensively
investigated
recent
studies
EI-oriented
inference.
In
this
paper,
first
review
background
motivation
Then,
classify
four
typical
paradigms
for
EI,
analyse
their
characteristics
key
technologies.
Finally,
summarize
current
challenges
inference,
discuss
future
trends
provide
directions.
BMC Medical Education,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: Sept. 22, 2023
Abstract
Introduction
Healthcare
systems
are
complex
and
challenging
for
all
stakeholders,
but
artificial
intelligence
(AI)
has
transformed
various
fields,
including
healthcare,
with
the
potential
to
improve
patient
care
quality
of
life.
Rapid
AI
advancements
can
revolutionize
healthcare
by
integrating
it
into
clinical
practice.
Reporting
AI’s
role
in
practice
is
crucial
successful
implementation
equipping
providers
essential
knowledge
tools.
Research
Significance
This
review
article
provides
a
comprehensive
up-to-date
overview
current
state
practice,
its
applications
disease
diagnosis,
treatment
recommendations,
engagement.
It
also
discusses
associated
challenges,
covering
ethical
legal
considerations
need
human
expertise.
By
doing
so,
enhances
understanding
significance
supports
organizations
effectively
adopting
technologies.
Materials
Methods
The
investigation
analyzed
use
system
relevant
indexed
literature,
such
as
PubMed/Medline,
Scopus,
EMBASE,
no
time
constraints
limited
articles
published
English.
focused
question
explores
impact
applying
settings
outcomes
this
application.
Results
Integrating
holds
excellent
improving
selection,
laboratory
testing.
tools
leverage
large
datasets
identify
patterns
surpass
performance
several
aspects.
offers
increased
accuracy,
reduced
costs,
savings
while
minimizing
errors.
personalized
medicine,
optimize
medication
dosages,
enhance
population
health
management,
establish
guidelines,
provide
virtual
assistants,
support
mental
care,
education,
influence
patient-physician
trust.
Conclusion
be
used
diagnose
diseases,
develop
plans,
assist
clinicians
decision-making.
Rather
than
simply
automating
tasks,
about
developing
technologies
that
across
settings.
However,
challenges
related
data
privacy,
bias,
expertise
must
addressed
responsible
effective
healthcare.
IEEE Journal on Selected Areas in Communications,
Journal Year:
2021,
Volume and Issue:
40(1), P. 5 - 36
Published: Nov. 8, 2021
The
thriving
of
artificial
intelligence
(AI)
applications
is
driving
the
further
evolution
wireless
networks.
It
has
been
envisioned
that
6G
will
be
transformative
and
revolutionize
from
"connected
things"
to
intelligence".
However,
state-of-the-art
deep
learning
big
data
analytics
based
AI
systems
require
tremendous
computation
communication
resources,
causing
significant
latency,
energy
consumption,
network
congestion,
privacy
leakage
in
both
training
inference
processes.
By
embedding
model
capabilities
into
edge,
edge
stands
out
as
a
disruptive
technology
for
seamlessly
integrate
sensing,
communication,
computation,
intelligence,
thereby
improving
efficiency,
effectiveness,
privacy,
security
In
this
paper,
we
shall
provide
our
vision
scalable
trustworthy
with
integrated
design
strategies
decentralized
machine
models.
New
principles
networks,
service-driven
resource
allocation
optimization
methods,
well
holistic
end-to-end
system
architecture
support
described.
Standardization,
software
hardware
platforms,
application
scenarios
are
also
discussed
facilitate
industrialization
commercialization
systems.
Journal of Clinical Medicine,
Journal Year:
2022,
Volume and Issue:
11(3), P. 612 - 612
Published: Jan. 26, 2022
Endometriosis
diagnosis
constitutes
a
considerable
economic
burden
for
the
healthcare
system
with
diagnostic
tools
often
inconclusive
insufficient
accuracy.
We
sought
to
analyze
human
miRNAome
define
saliva-based
miRNA
signature
endometriosis.
Nutrients,
Journal Year:
2022,
Volume and Issue:
14(24), P. 5361 - 5361
Published: Dec. 16, 2022
It
is
widely
accepted
that
the
gut
microbiota
plays
a
significant
role
in
modulating
inflammatory
and
immune
responses
of
their
host.
In
recent
years,
host-microbiota
interface
has
gained
relevance
understanding
development
many
non-communicable
chronic
conditions,
including
cardiovascular
disease,
cancer,
autoimmunity
neurodegeneration.
Importantly,
dietary
fibre
(DF)
associated
compounds
digested
by
resulting
metabolites,
especially
short-chain
fatty
acids
(SCFA),
were
significantly
with
health
beneficial
effects,
such
as
via
proposed
anti-inflammatory
mechanisms.
However,
SCFA
metabolic
pathways
are
not
fully
understood.
Major
steps
include
production
microbiota,
uptake
colonic
epithelium,
first-pass
effects
at
liver,
followed
biodistribution
metabolism
host's
cellular
level.
As
patterns
do
affect
all
individuals
equally,
host
genetic
makeup
may
play
fate
these
addition
to
other
factors
might
influence
age,
birth
through
caesarean,
medication
intake,
alcohol
tobacco
consumption,
pathogen
exposure
physical
activity.
this
article,
we
review
DF,
from
intake
intracellular
fibre-derived
products,
identify
possible
sources
inter-individual
variability
related
variation.
Such
be
indicative
phenotypic
flexibility
response
diet,
predictive
long-term
adaptations
factors,
maladaptation
tissue
damage,
which
develop
into
disease
specific
predispositions,
thus
allowing
for
better
prediction
potential
following
personalized
intervention
DF.
Obesity Pillars,
Journal Year:
2023,
Volume and Issue:
6, P. 100065 - 100065
Published: April 20, 2023
This
Obesity
Medicine
Association
(OMA)
Clinical
Practice
Statement
(CPS)
provides
clinicians
an
overview
of
Artificial
Intelligence,
focused
on
the
management
patients
with
obesity.
Intelligent
agents
are
showing
increasing
promise
for
clinical
decision-making
in
a
variety
of
healthcare
settings.
While
substantial
body
work
has
contributed
to
the
best
strategies
convey
these
agents'
decisions
clinicians,
few
have
considered
impact
personalizing
and
customizing
communications
on
clinicians'
performance
receptiveness.
This
raises
question
how
intelligent
should
adapt
their
tone
accordance
with
target
audience.
We
designed
two
approaches
communicate
an
agent
breast
cancer
diagnosis
different
tones:
suggestive
(non-assertive)
imposing
(assertive)
one.
used
inform
about:
(1)
number
detected
findings;
(2)
severity
each
per
medical
imaging
modality;
(3)
visual
scale
representing
estimates;
(4)
sensitivity
specificity
agent;
(5)
arguments
patient,
such
as
pathological
co-variables.
Our
results
demonstrate
that
assertiveness
plays
important
role
this
communication
is
perceived
its
benefits.
show
according
professional
experience
clinician
can
reduce
errors
increase
satisfaction,
bringing
novel
perspective
design
adaptive
between
clinicians.
Intelligent Pharmacy,
Journal Year:
2023,
Volume and Issue:
1(1), P. 32 - 40
Published: May 10, 2023
The
application
of
Artificial
Intelligence
(AI)
is
rapidly
transforming
various
industries,
and
the
pharmaceutical
industry
no
exception.
AI
increasingly
being
used
to
automate,
optimize
personalize
aspects
pharmacy
industry,
from
drug
discovery
dispensing.
In
this
context,
paper
explores
potential
revolutionize
by
discussing
current
future
applications
in
industry.
We
will
examine
how
discovery,
personalized
medicine,
safety
quality
control,
inventory
management,
patient
counselling.
also
discuss
challenges
limitations
such
as
data
privacy,
ethical
concerns
regulatory
barriers.
argue
that
has
enabling
faster
improving
outcomes,
reducing
costs,
increasing
efficiency
accuracy
operations.
old
system
relied
on
manual
processes
human
decision-making,
while
new
automates
routine
tasks,
provides
treatment
plans,
reduces
costs
outcomes.
However,
it
important
ensure
ethically
responsibly,
its
impact
workforce
society
carefully
considered.
major
benefit
integrating
into
specific
within
field
improved
care.
Overall,
provide
an
insight
transformative
field.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 10, 2024
The
simulation
of
human
intelligence
in
robots
that
are
designed
to
think
and
learn
like
humans
is
known
as
artificial
(AI).
AI
creating
a
world
has
never
been
seen
before.
By
applying
do
jobs
would
otherwise
take
long
time,
have
the
chance
improve
our
planet.
great
potential
genetic
engineering
gene
therapy
research.
powerful
tool
for
new
hypotheses
helping
with
experimental
techniques.
From
previous
data
model,
it
can
help
detection
heredity
gene-related
disorders.
developments
offer
an
excellent
possibility
rational
drug
discovery
design,
eventually
impacting
humanity.
Drug
development
depend
greatly
on
machine
learning
(ML)
technology.
Genetics
not
exception
this
trend,
ML
expected
impact
nearly
every
aspect
experience.
significantly
aided
treatment
various
biomedical
conditions,
including
In
both
basic
applied
research,
deep
-
highly
versatile
branch
enables
autonomous
feature
extraction
increasingly
exploited.
review,
we
cover
broad
spectrum
current
uses
genetics.
enormous
field
genetics,
but
its
advancement
area
may
be
hampered
future
by
lack
knowledge
about
accompanying
difficulties
could
mask
any
possible
benefits
patients.
This
paper
examines
AI's
significance
advancing
precision
disease
treatment,
provides
peek
at
use
clinical
care,
number
existing
clinician
primer
critical
aspects
these
technologies,
makes
predictions
applications
illnesses.
