Big Data and Cognitive Computing,
Journal Year:
2023,
Volume and Issue:
7(3), P. 147 - 147
Published: Aug. 30, 2023
The
future
of
innovative
robotic
technologies
and
artificial
intelligence
(AI)
in
pharmacy
medicine
is
promising,
with
the
potential
to
revolutionize
various
aspects
health
care.
These
advances
aim
increase
efficiency,
improve
patient
outcomes,
reduce
costs
while
addressing
pressing
challenges
such
as
personalized
need
for
more
effective
therapies.
This
review
examines
major
robotics
AI
pharmaceutical
medical
fields,
analyzing
advantages,
obstacles,
implications
In
addition,
prominent
organizations
research
institutions
leading
way
these
technological
advancements
are
highlighted,
showcasing
their
pioneering
efforts
creating
utilizing
state-of-the-art
solutions
medicine.
By
thoroughly
current
state
care
exploring
possibilities
further
progress,
this
work
aims
provide
readers
a
comprehensive
understanding
transformative
power
evolution
healthcare
sector.
Striking
balance
between
embracing
technology
preserving
human
touch,
investing
R&D,
establishing
regulatory
frameworks
within
ethical
guidelines
will
shape
systems.
seamless
integration
systems
benefit
patients
providers.
Health care science,
Journal Year:
2024,
Volume and Issue:
3(5), P. 329 - 349
Published: Oct. 1, 2024
Abstract
The
increasing
integration
of
new
technologies
is
driving
a
fundamental
revolution
in
the
healthcare
sector.
Developments
artificial
intelligence
(AI),
machine
learning,
and
big
data
analytics
have
completely
transformed
diagnosis,
treatment,
care
patients.
AI‐powered
solutions
are
enhancing
efficiency
accuracy
delivery
by
demonstrating
exceptional
skills
personalized
medicine,
early
disease
detection,
predictive
analytics.
Furthermore,
telemedicine
remote
patient
monitoring
systems
overcome
geographical
constraints,
offering
easy
accessible
services,
particularly
underserved
areas.
Wearable
technology,
Internet
Medical
Things,
sensor
empowered
individuals
to
take
an
active
role
tracking
managing
their
health.
These
devices
facilitate
real‐time
collection,
enabling
preventive
care.
Additionally,
development
3D
printing
technology
has
revolutionized
medical
field
production
customized
prosthetics,
implants,
anatomical
models,
significantly
impacting
surgical
planning
treatment
strategies.
Accepting
these
advancements
holds
potential
create
more
patient‐centered,
efficient
system
that
emphasizes
individualized
care,
better
overall
health
outcomes.
This
review's
novelty
lies
exploring
how
radically
transforming
industry,
paving
way
for
effective
all.
It
highlights
capacity
modern
revolutionize
addressing
long‐standing
challenges
improving
Although
approval
use
digital
advanced
analysis
face
scientific
regulatory
obstacles,
they
translational
research.
as
continue
evolve,
poised
alter
environment,
sustainable,
efficient,
ecosystem
future
generations.
Innovation
across
multiple
fronts
will
shape
revolutionizing
provision
healthcare,
outcomes,
equipping
both
patients
professionals
with
tools
make
decisions
receive
treatment.
As
develop
become
integrated
into
standard
practices,
probably
be
accessible,
effective,
than
ever
before.
Frontiers in Psychology,
Journal Year:
2023,
Volume and Issue:
14
Published: Oct. 5, 2023
Neurodevelopmental
Disorders
(NDDs)
represent
a
significant
healthcare
and
economic
burden
for
families
society.
Technology,
including
AI
digital
technologies,
offers
potential
solutions
the
assessment,
monitoring,
treatment
of
NDDs.
However,
further
research
is
needed
to
determine
effectiveness,
feasibility,
acceptability
these
technologies
in
NDDs,
address
challenges
associated
with
their
implementation.
In
this
work,
we
present
application
social
robotics
using
Pepper
robot
connected
OpenAI
system
(Chat-GPT)
real-time
dialogue
initiation
robot.
After
describing
general
architecture
system,
two
possible
simulated
interaction
scenarios
subject
Autism
Spectrum
Disorder
different
situations.
Limitations
future
implementations
are
also
provided
provide
an
overview
developments
interconnected
systems
that
could
greatly
contribute
technological
advancements
(NDD).
Age and Ageing,
Journal Year:
2023,
Volume and Issue:
52(12)
Published: Dec. 1, 2023
Artificial
intelligence
(AI)
in
healthcare
describes
algorithm-based
computational
techniques
which
manage
and
analyse
large
datasets
to
make
inferences
predictions.
There
are
many
potential
applications
of
AI
the
care
older
people,
from
clinical
decision
support
systems
that
can
identification
delirium
records
wearable
devices
predict
risk
a
fall.
We
held
four
meetings
clinicians
researchers.
Three
priority
areas
were
identified
for
application
people.
These
included:
monitoring
early
diagnosis
disease,
stratified
coordination
between
providers.
However,
also
highlighted
concerns
may
exacerbate
health
inequity
people
through
bias
within
models,
lack
external
validation
amongst
infringements
on
privacy
autonomy,
insufficient
transparency
models
safeguarding
errors.
Creating
effective
interventions
requires
person-centred
approach
account
needs
as
well
sufficient
technological
governance
meet
standards
generalisability,
effectiveness.
Education
patients
is
needed
ensure
appropriate
use
technologies,
with
investment
infrastructure
required
equity
access.
Journal of Biomedical and Sustainable Healthcare Applications,
Journal Year:
2024,
Volume and Issue:
unknown, P. 22 - 32
Published: Jan. 5, 2024
Robotics
is
a
branch
of
engineering
that
deals
with
the
design,
construction,
operation
and
application
robots
to
perform
some
physical
tasks
on
behalf
human
beings
varying
degrees
autonomy.
Generally,
are
used
jobs
highly
repetitive
or
have
high
risk
towards
human’s
life.
This
article
seeks
critically
examine
various
classifications
in
healthcare
industry
their
specific
applications.
paper
looks
at
advances
made
field
artificial
intelligence
(AI)
robotics
mainly
focusing
notable
progress
by
key
players
like
IBM
Watson
Google’s
DeepMind.
The
study
explores
robotic
applications
different
medical
setups
such
as
surgical
operations,
telemedicine,
rehabilitation,
radiation,
telepresence,
socially
useful
activities
pharmacy
services.
Besides
that,
this
discusses
how
potentially
imaging
nurse
robots,
cleaning
robot
delivery/transporting
can
change
health
care
sector
future.
underscores
need
for
more
research
development
efforts
enhance
comprehension
functionalities
potential
uses
within
sector.
Robotics,
Journal Year:
2023,
Volume and Issue:
12(4), P. 110 - 110
Published: Aug. 1, 2023
As
we
look
towards
the
future
of
healthcare,
integrating
Care
Robots
(CRs)
into
health
systems
is
a
practical
approach
to
address
challenges
such
as
an
ageing
population
and
caregiver
shortages.
However,
ethical
discussions
about
impact
CRs
on
patients,
caregivers,
healthcare
systems,
society
are
crucial.
This
normative
research
seeks
define
integrative
comprehensive
framework
for
CRs,
encompassing
wide
range
AI-related
issues
in
healthcare.
To
build
framework,
combine
principles
beneficence,
non-maleficence,
autonomy,
justice,
explainability
by
AI4People
Good
AI
Society
traditional
bioethics
perspective.
Using
integrated
conduct
assessment
CRs.
Next,
identify
three
key
trade-offs
propose
remediation
strategies
technology.
Finally,
offer
design
recommendations
responsible
development
usage
In
conclusion,
our
highlights
critical
need
sector-specific
fully
grasp
potential
implications
Nursing Reports,
Journal Year:
2024,
Volume and Issue:
14(1), P. 267 - 286
Published: Jan. 24, 2024
Transportation
tasks
in
nursing
are
common,
often
overlooked,
and
directly
impact
patient
care
time
the
context
of
staff
shortages
an
aging
society.
Current
studies
lack
a
specific
focus
on
transportation
tasks,
gap
our
research
aims
to
fill.
By
providing
detailed
data
needs
nursing,
study
establishes
crucial
foundation
for
development
integration
assistive
robots
clinical
settings.
In
July
September
2023,
we
conducted
weekly
observations
nurses
assess
needs.
We
aim
understand
economic
methods
use
tasks.
participant
observation
using
standardized
app-based
form
over
seven-day
period
two
rural
clinics.
N
=
1830
transports
were
made
by
examined
descriptive
analysis.
Non-medical
supplies
account
27.05%
(n
495)
all
transports,
followed
medical
at
17.32%
317),
pharmacotherapy
14.10%
258)
other
categories
like
meals
or
drinks
contributing
12.68%
232).
Most
had
factual
transport
under
minute,
with
lab
samples
displaying
more
variability.
total,
77.15%
hand.
Requirements
collect
items
connect
included
5%
transports.
Our
evaluation
highlighted
as
most
costly
transport,
9596.16
€
per
year
observed
Budget-friendly
would
amortize
these
costs
one
transporting
meals.
support
understanding
nurses’
via
further
validate
findings
determine
feasibility
robots.
Safety,
Journal Year:
2024,
Volume and Issue:
10(1), P. 32 - 32
Published: March 18, 2024
While
there
is
evidence
of
substantial
improvement
in
efficiency
and
cost
reduction
from
the
integration
Robotics,
Artificial
Intelligence,
Drones
(RAID)
solar
installations;
it
observed
that
limited
oversight
by
international
standards
such
as
International
Electrotechnical
Commission
(IEC)
terms
hazards
untapped
potentials.
This
partly
because
an
emerging
application
generally
burdened
with
social
acceptability
issues.
Thus,
safety
regulations
applied
are
adaptations
device-specific
deemed
fit
individual
companies.
Also,
due
to
fast-paced
technological
development
these
platforms,
huge
potential
for
applications
not
currently
supported
regulations.
creates
a
multi-faceted
demand
establishment
standardized,
industry-wide
polices
guidelines
on
use
RAID
platforms
Solar
PV
integrations.
work
aims
address
critical
concerns
conducting
comprehensive
high-level
system
examination
applicable
monitoring
maintenance
systems.
Standard
assurance
models
approaches
examined
provide
safe
autonomy
perspective
PVs.
It
considered
that,
continue
evolve
become
more
prevalent
industry,
standardized
protocols
or
policies
would
be
established
ensure
reliable
operations.
Robotics and Autonomous Systems,
Journal Year:
2023,
Volume and Issue:
163, P. 104387 - 104387
Published: Feb. 25, 2023
Assistive
robotic
systems
are
quickly
becoming
a
core
technology
for
the
service
sector
as
they
understood
capable
of
supporting
people
in
need
assistance
wide
variety
tasks.
This
step
poses
number
ethical
and
technological
questions.
The
research
community
is
wondering
how
robotics
can
be
forward
human
care
aid,
applications
realized
order
to
put
role
at
forefront.
Therefore,
there
growing
demand
frameworks
application
designers
“human-aware”
development
process.
paper
presents
model-driven
framework
analyzing
developing
human–robot
interactive
scenarios
non-industrial
settings
with
significant
sources
uncertainty.
framework’s
formal
model
agents
play
–
humans
robot
robot’s
mission,
which
then
through
verification
estimate
probability
completing
mission.
captures
non-trivial
features
related
behavior,
specifically
unpredictability
choices
physiological
aspects
tied
their
state
health.
To
foster
accessibility,
we
present
tool-agnostic
Domain-Specific
Language
that
allows
lacking
expertise
modeling
configure
user-friendly
manner.
We
compare
analysis
outputs
results
obtained
by
deploying
benchmark
physical
environment
real
mobile
assess
whether
adheres
reality
accurate.
entire
pipeline
tested
on
several
from
healthcare
setting
its
flexibility
effectiveness
design