IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 121492 - 121510
Published: Jan. 1, 2023
The
SARS-CoV-2
virus
pandemic
had
devastating
effects
on
various
aspects
of
life:
clinical
cases,
ranging
from
mild
to
severe,
can
lead
lung
failure
and
death.
Due
the
high
incidence,
data-driven
models
support
physicians
in
patient
management.
explainability
interpretability
machine-learning
are
mandatory
scenarios.
In
this
work,
clinical,
laboratory
radiomic
features
were
used
train
for
COVID-19
prognosis
prediction.
Using
Explainable
AI
algorithms,
a
multi-level
explainable
method
was
proposed
taking
into
account
developer
involved
stakeholder
(physician,
patient)
perspectives.
A
total
1023
extracted
1589
Chest
X-Ray
images
(CXR),
combined
with
38
clinical/laboratory
features.
After
pre-processing
selection
phases,
40
CXR
23
Support
Vector
Machine
Random
Forest
classifiers
exploring
three
feature
strategies.
combination
both
radiomic,
enabled
higher
performance
resulting
models.
intelligibility
allowed
us
validate
models'
findings.
According
medical
literature,
LDH,
PaO2
CRP
most
predictive
Instead,
ZoneEntropy
HighGrayLevelZoneEmphasis
-
indicative
heterogeneity/uniformity
texture
discriminating
Our
best
model,
exploiting
classifier
signature
composed
features,
achieved
AUC=0.819,
accuracy=0.733,
specificity=0.705,
sensitivity=0.761
test
set.
including
explainability,
allows
make
strong
assumptions,
confirmed
by
literature
insights.
Technovation,
Journal Year:
2023,
Volume and Issue:
124, P. 102747 - 102747
Published: March 15, 2023
Workplace
Artificial
Intelligence
(AI)
helps
organisations
increase
operational
efficiency,
enable
faster-informed
decisions,
and
innovate
products
services.
While
there
is
a
plethora
of
information
about
how
AI
may
provide
value
to
workplaces,
research
on
workers
can
coexist
in
workplaces
evolving.
It
critical
explore
emerging
themes
agendas
understand
the
trajectory
scholarly
this
area.
This
study's
overarching
question
will
with
workplaces.
A
search
protocol
was
employed
find
relevant
articles
Scopus,
ProQuest,
Web
Science
databases
based
appropriate
specific
keywords
article
inclusion
exclusion
criteria.
We
identified
four
themes:
(1)
Workers'
distrust
workplace
stems
from
perceiving
it
as
job
threat,
(2)
entices
worker-AI
interactions
by
offering
augment
worker
abilities,
(3)
coexistence
require
workers'
technical,
human,
conceptual
skills,
(4)
Workers
need
ongoing
reskilling
upskilling
contribute
symbiotic
relationship
AI.
then
developed
propositions
questions
for
future
research.
review
makes
contributions:
argues
that
an
existential
argument
better
explains
AI,
gathers
required
skills
groups
them
into
suggests
technical
benefit
but
cannot
outweigh
human
offers
20
evidence-informed
guide
inquiries.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(3), P. 1879 - 1879
Published: Feb. 8, 2022
The
COVID-19
pandemic
came
with
disruptions
in
every
aspect
of
human
existence,
all
the
sectors
economies
world
affected
greatly.
In
health
sector,
halted
and
reversed
progress
subsequently
shortened
life
expectancy,
especially
developing
underdeveloped
nations.
On
other
hand,
machine
learning
artificial
intelligence
contributed
a
great
deal
to
handling
globally.
Therefore,
current
study
aimed
assess
role
played
by
addressing
dangers
posed
pandemic,
as
well
extrapolate
lessons
on
fourth
industrial
revolution
sustainable
development
goals.
Using
qualitative
content
analysis,
results
indicated
that
an
important
response
challenges
pandemic.
Artificial
intelligence,
learning,
various
digital
communication
tools
through
telehealth
performed
meaningful
roles
scaling
customer
communications,
provided
platform
for
understanding
how
spreads,
sped
up
research
treatment
COVID-19,
among
notable
achievements.
we
draw
from
this
is
that,
despite
rise
number
unintended
consequences
technology
revolution,
motivates
us
conclude
governments
must
build
trust
these
technologies,
address
problems
going
forward,
ensure
goals
related
good
wellbeing
are
achieved.
Bioresource Technology,
Journal Year:
2022,
Volume and Issue:
355, P. 127215 - 127215
Published: April 23, 2022
In
this
study,
an
integrated
framework
of
artificial
neural
networks
(ANNs)
and
metaheuristic
algorithms
have
been
developed
for
the
prediction
biochar
yield
using
biomass
characteristics
pyrolysis
process
conditions.
Comparative
analysis
six
different
was
performed
to
optimize
ANN
architecture
select
important
features.
The
results
suggested
that
model
coupled
with
Rao-2
algorithm
outperformed
(R2
∼
0.93,
RMSE
1.74%)
all
other
models.
Furthermore,
detailed
information
behind
models
acquired,
identifying
most
influencing
factors
as
follows:
temperature
(56%),
residence
time
(23%),
heating
rate
(8%).
partial
dependence
plot
revealed
how
each
factor
affected
target
variable.
Finally,
easy-to-use
software
tool
predicting
built
ANN-Rao-2
model.
This
study
demonstrates
huge
potential
machine
learning
presents
in
predictive
modelling
complex
processes,
reduces
time-consuming
expensive
experimental
work
estimating
yield.
Antibiotics,
Journal Year:
2022,
Volume and Issue:
11(6), P. 784 - 784
Published: June 8, 2022
Artificial
intelligence
(AI)
is
a
branch
of
science
and
engineering
that
focuses
on
the
computational
understanding
intelligent
behavior.
Many
human
professions,
including
clinical
diagnosis
prognosis,
are
greatly
useful
from
AI.
Antimicrobial
resistance
(AMR)
among
most
critical
challenges
facing
Pakistan
rest
world.
The
rising
incidence
AMR
has
become
significant
issue,
authorities
must
take
measures
to
combat
overuse
incorrect
use
antibiotics
in
order
rates.
widespread
practice
not
only
resulted
drug
but
also
increased
threat
super-resistant
bacteria
emergence.
As
rises,
clinicians
find
it
more
difficult
treat
many
bacterial
infections
timely
manner,
therapy
becomes
prohibitively
costly
for
patients.
To
rise
rates,
implement
an
institutional
antibiotic
stewardship
program
monitors
correct
use,
controls
antibiotics,
generates
antibiograms.
Furthermore,
these
types
tools
may
aid
treatment
patients
event
medical
emergency
which
physician
unable
wait
culture
results.
AI's
applications
healthcare
might
be
unlimited,
reducing
time
takes
discover
new
antimicrobial
drugs,
improving
diagnostic
accuracy,
lowering
expenses
at
same
time.
majority
suggested
AI
solutions
meant
supplement
rather
than
replace
doctor's
prescription
or
opinion,
serve
as
valuable
tool
making
their
work
easier.
When
comes
infectious
diseases,
potential
game-changer
battle
against
resistance.
Finally,
when
selecting
infections,
data
local
programs
ensuring
treated
quickly
effectively.
organizations
such
World
Health
Organization
(WHO)
have
underlined
necessity
appropriate
treating
shortest
feasible
minimize
spread
resistant
invasive
strains.
Science in One Health,
Journal Year:
2023,
Volume and Issue:
2, P. 100050 - 100050
Published: Jan. 1, 2023
Out
of
all
emerging
infectious
diseases,
approximately
75%
are
zoonotic
origin,
with
their
source
often
traced
back
to
animals.
The
emergence
zoonoses
is
driven
by
a
complex
interplay
between
anthropogenic,
genetic,
ecological,
socioeconomic,
and
climatic
factors.
This
intricate
web
influences
poses
significant
challenges
for
the
prediction
prevention
outbreaks.
Effective
coordination
collaboration
among
animal,
human,
environmental
health
sectors
essential
proactively
addressing
major
diseases.
Despite
advancements
in
surveillance
diagnostic
practices,
continues
be
pressing
global
concern.
Therefore,
prioritizing
disease
paramount
importance
as
part
comprehensive
containment
strategy.
Furthermore,
evaluating
existing
systems
provides
insights
into
faced,
which
can
mitigated
through
implementation
'One
Health'
principles
involving
relevant
stakeholders.
To
initiate
multisectoral
partnerships,
it
crucial
identify
priorities
core
themes
equitable
inputs
from
various
sectors.
Strengthening
surveillance,
promoting
data
sharing,
enhancing
laboratory
testing
capabilities,
fostering
joint
outbreak
responses
both
human
animal
will
establish
necessary
infrastructure
effectively
prevent,
predict,
detect,
respond
threats,
thereby
reinforcing
security.
review
assesses
approaches
offering
an
overview
agencies
engaged
monitoring
outlines
components
required
at
human-animal-environment
interface
designing
networks.
Additionally,
discusses
key
steps
executing
effective
One
Health
approach,
while
highlighting
encountered
establishing
such
robust
system.
International Journal of Production Research,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 23
Published: March 13, 2023
Recent
years
have
witnessed
increased
pressure
across
the
global
healthcare
system
during
COVID-19
pandemic.
The
pandemic
shattered
existing
operations
and
taught
us
importance
of
a
resilient
sustainable
system.
Digitisation,
specifically
adoption
Artificial
Intelligence
(AI)
has
positively
contributed
to
developing
in
recent
past.
To
understand
how
AI
contributes
building
system,
this
study
based
on
systematic
literature
review
89
articles
extracted
from
Scopus
Web
Science
databases
is
conducted.
organised
around
several
key
themes
such
as
applications,
benefits,
challenges
using
technology
sector.
It
observed
that
wide
applications
radiology,
surgery,
medical,
research,
development
Based
analysis,
research
framework
proposed
an
extended
Antecedents,
Practices,
Outcomes
(APO)
framework.
This
comprises
applications'
antecedents,
practices,
outcomes
for
Consequently,
three
propositions
are
drawn
study.
Furthermore,
our
adopted
theory,
context
methodology
(TCM)
provide
future
directions,
which
can
be
used
reference
point
studies.
