IEEE Transactions on Technology and Society,
Год журнала:
2022,
Номер
3(4), С. 272 - 289
Опубликована: Июль 29, 2022
This
article's
main
contributions
are
twofold:
1)
to
demonstrate
how
apply
the
general
European
Union's
High-Level
Expert
Group's
(EU
HLEG)
guidelines
for
trustworthy
AI
in
practice
domain
of
healthcare
and
2)
investigate
research
question
what
does
"trustworthy
AI"
mean
at
time
COVID-19
pandemic.
To
this
end,
we
present
results
a
post-hoc
self-assessment
evaluate
trustworthiness
an
system
predicting
multiregional
score
conveying
degree
lung
compromise
patients,
developed
verified
by
interdisciplinary
team
with
members
from
academia,
public
hospitals,
industry
The
aims
help
radiologists
estimate
communicate
severity
damage
patient's
Chest
X-rays.
It
has
been
experimentally
deployed
radiology
department
ASST
Spedali
Civili
clinic
Brescia,
Italy,
since
December
2020
during
pandemic
time.
methodology
have
applied
our
assessment,
called
Z-Inspection®,
uses
sociotechnical
scenarios
identify
ethical,
technical,
domain-specific
issues
use
context
Sustainable Operations and Computers,
Год журнала:
2021,
Номер
2, С. 235 - 245
Опубликована: Янв. 1, 2021
The
continuous
COVID-19
upsurge
and
emerging
variants
present
unprecedented
challenges
in
many
health
systems.
Many
regulatory
authorities
have
instituted
the
mandatory
use
of
face
masks
especially
public
places
where
massive
contact
people
is
frequent
inevitable,
particularly
inside
transport
facilities,
sports
arenas,
shopping
malls
workplaces.
However,
compliance
adherence
to
proper
wearing
been
difficult
due
various
reasons
including
diversified
mask
types,
different
degrees
obstructions,
variations,
balancing
model
detection
accuracy
or
errors
deployment
requirements,
angle
view,
on
computers
with
limited
processing
power,
low-resolution
images,
facial
expression,
lack
real-world
dataset.
Therefore,
this
study
aimed
at
providing
a
comprehensive
review
artificial
intelligence
models
that
used
detect
masks.
revealed
deep
learning
such
as
Inceptionv3
convolutional
neural
network
achieved
99.9%
detecting
We
deducted
most
datasets
are
created
artificially,
do
not
represent
environments
which
ultimately
affect
precision
when
deployed
real
world.
Hence
there
need
for
sharing
images
modelling
techniques.
also
deeper
wider
architectures
increased
training
parameters,
inception-v4,
Mask
R-CNN,
Faster
YOLOv3,
Xception,
DenseNet
yet
implemented
International Journal of Environmental Research and Public Health,
Год журнала:
2021,
Номер
18(11), С. 5645 - 5645
Опубликована: Май 25, 2021
The
COVID-19
pandemic
is
a
serious
challenge
for
societies
around
the
globe
as
entire
populations
have
fallen
victim
to
infectious
spread
and
taken
up
social
distancing.
In
many
countries,
people
had
self-isolate
be
confined
their
homes
several
weeks
months
prevent
of
virus.
Social
distancing
measures
both
negative
positive
impacts
on
various
aspects
economies,
lifestyles,
education,
transportation,
food
supply,
health,
life,
mental
wellbeing.
On
other
hands,
due
reduced
population
movements
decline
in
human
activities,
gas
emissions
decreased
ozone
layer
improved;
this
impact
Earth’s
weather
environment.
Overall,
has
effects
activities
nature.
This
study
discusses
different
life
including
economy,
Sustainability,
Год журнала:
2021,
Номер
13(14), С. 8020 - 8020
Опубликована: Июль 18, 2021
The
study
provides
knowledge
on
the
adoption
of
Robotic
Process
Automation
(RPA)
technology
during
COVID-19
pandemic
in
110
Polish
service
companies.
As
this
research
was
first
its
kind
Poland,
objectives
CAWI
survey
were
to
identify
features
RPA
and
related
determinants
barriers
influencing
as
well
determine
correlations
between
them.
Moreover,
statistical
analyses
involved
considering
whether
there
differences
evaluation
individual
features,
mainly
terms
perceived
usefulness,
ease
use,
security
functionality.
results
show
that
almost
60%
respondents
indicated
robotization
tools
allowed
maintaining
continuity
business
processes
pandemic.
highest
rated
usefulness
technology.
Furthermore,
analysis
pointed
most
frequently
implementation
nonoptimized,
nonstandardized
non-digitized
with
a
large
number
exceptions.
contributes
scientific
has
practical
implications
for
process
automation
decision-makers
concerned
obtained
can
help
them
understand
potential
drivers
software
robots
by
enterprises
may
be
an
important
determinant
companies’
managers
field
implementing
such
solutions.
Journal of Bioethical Inquiry,
Год журнала:
2022,
Номер
19(3), С. 407 - 419
Опубликована: Июль 20, 2022
Abstract
To
analyze
which
ethically
relevant
biases
have
been
identified
by
academic
literature
in
artificial
intelligence
(AI)
algorithms
developed
either
for
patient
risk
prediction
and
triage,
or
contact
tracing
to
deal
with
the
COVID-19
pandemic.
Additionally,
specifically
investigate
whether
role
of
social
determinants
health
(SDOH)
considered
these
AI
developments
not.
We
conducted
a
scoping
review
literature,
covered
publications
from
March
2020
April
2021.
Studies
mentioning
on
medical
triage
regarding
were
included.
From
1054
articles,
20
studies
finally
propose
typology
based
bias,
limitations
other
ethical
issues
both
areas
analysis.
Results
disparities
SDOH
classified
into
five
categories:
racial
disparities,
biased
data,
socio-economic
unequal
accessibility
workforce,
information
communication.
needs
be
clinical
context,
where
they
still
seem
underestimated.
Epidemiological
conditions
depend
geographic
location,
so
use
local
data
develop
international
solutions
may
increase
some
biases.
Gender
bias
was
not
addressed
articles
The
main
are
related
collection
management.
Ethical
problems
privacy,
consent,
lack
regulation
while
bias-related
inequalities
highlighted.
There
is
need
further
research
focusing
specific
apps.
Applied Sciences,
Год журнала:
2023,
Номер
13(3), С. 1287 - 1287
Опубликована: Янв. 18, 2023
IoMT
sensor
nodes,
Internet
of
Things
(IoT)
wearable
medical
equipment,
healthcare
facilities,
patients,
and
insurance
firms
are
all
increasingly
being
included
in
systems.
Therefore,
it
is
difficult
to
create
a
blockchain
design
for
such
systems,
since
scalability
among
the
most
important
aspects
technology.
This
realization
prompted
us
comprehensively
analyze
blockchain-based
solutions
developed
English
between
2017
2022.
review
incorporates
theoretical
underpinnings
large
body
work
published
highly
regarded
academic
journals
over
past
decade,
standardize
evaluation
methods
fully
capture
rapidly
developing
space.
study
categorizes
blockchain-enabled
applications
across
various
industries
as
information
management,
privacy,
healthcare,
business,
supply
chains
according
structured,
systematic
evaluation,
thematic
content
analysis
literature
that
already
identified.
The
gaps
on
topic
have
also
been
highlighted,
with
special
focus
restrictions
posed
by
technology
knock-on
effects
other
fields.
Based
these
results,
several
open
research
questions
potential
avenues
further
investigation
likely
be
useful
academics
professionals
alike
pinpointed.
Big Data and Cognitive Computing,
Год журнала:
2023,
Номер
7(1), С. 11 - 11
Опубликована: Янв. 11, 2023
Integrating
machine
learning
technologies
into
artificial
intelligence
(AI)
is
at
the
forefront
of
scientific
and
technological
tools
employed
to
combat
COVID-19
pandemic.
This
study
assesses
different
uses
deployments
modern
technology
for
combating
pandemic
various
levels,
such
as
image
processing,
tracking
disease,
prediction
outcomes,
computational
medicine.
The
results
prove
that
computerized
tomography
(CT)
scans
help
diagnose
patients
infected
by
COVID-19.
includes
two-sided,
multilobar
ground
glass
opacification
(GGO)
a
posterior
distribution
or
peripheral,
primarily
in
lower
lobes,
fewer
recurrences
intermediate
lobe.
An
extensive
search
databases
relating
was
undertaken.
Subsequently,
review
extracted
information
from
database
looked
how
can
be
tackle
We
discussed
advancements
deployed
alleviate
communicability
effect
Even
though
there
are
many
types
research
on
use
COVID-19,
application
still
not
yet
fully
explored.
In
addition,
we
suggested
some
open
issues
challenges
deploying
AI
global
Sensors International,
Год журнала:
2021,
Номер
3, С. 100134 - 100134
Опубликована: Ноя. 6, 2021
With
fast-paced
technological
advancements
coupled
with
increasing
demands
for
virtual
health
care
especially
during
the
pandemic,
systems
globally
are
on
cusp
of
transforming
healthcare
through
emerging
technologies.
Such
paradigm
shift
in
digital
requires
effective
integration
information,
computing,
communication,
and
connectivity
technologies
sharing
data
web.
The
current
deployed
service
delivery
lack
emotional
competencies
despite
growing
capturing
monitoring
patients'
affections,
feelings
emotions.
importance
emotive
Sensory
web
has
been
gaining
relevance
society
to
remotely
monitor
pandemic
like
COVID-19
minimize
infections.
In
this
respect,
paper
discusses
significant
benefits,
trends,
technologies,
perceived
challenges,
ethical
issues
sensory
Web
care.
study
revealed
that
such
as
artificial
intelligence,
Internet
Things,
Medical
5G
technology,
Industry
5.0,
big
data,
cloud
computing
paramount
development
implementation
However,
standardization
synchronization
communication
protocols,
well
devices
interoperability
issues,
threatens
these
While
need
continues
increase,
there
social,
technological,
infrastructural,
economic
barriers,
security
hinder
its
implementation.
Therefore,
is
a
developing
infrastructure
supports
appropriate
technologies;
crafting
regional
international
legal
regulatory
policy
WHO;
devices.
Human Behavior and Emerging Technologies,
Год журнала:
2022,
Номер
2022, С. 1 - 11
Опубликована: Апрель 5, 2022
Blockchain
technology
(BCT)
is
an
emerging
technology.
Cybersecurity
challenges
in
BCT
are
being
explored
to
add
greater
value
business
processes
and
reshape
operations.
This
scoping
review
paper
was
aimed
at
exploring
the
current
literature’s
scope
categorizing
various
types
of
cybersecurity
BCT.
Databases
such
as
Elsevier,
ResearchGate,
IEEE,
ScienceDirect,
ABI/INFORM
Collection
(ProQuest)
were
searched
using
a
combination
terms,
after
rigorous
screening,
51
research
studies
found
relevant.
Data
coding
performed
following
framework
proposed
for
review.
After
careful
analysis,
thirty
different
categorized
into
six
standardized
classes.
Our
results
show
that
most
disclose
generally
without
pointing
any
specific
industry
sector,
very
little
extent,
few
papers
reveal
related
sectors.
Also,
prior
barely
investigated
strategies
minimize
Based
on
gap
identification,
future
avenues
scholars.
