IntechOpen eBooks,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 31, 2024
This
chapter
delves
into
how
artificial
intelligence
(AI)
is
set
to
transform
paramedicine
practices.
It
explores
emerging
AI
technologies—like
wearable
devices,
autonomous
drones,
and
advanced
robotics—are
not
just
tools
of
the
future
but
are
beginning
change
paramedics
make
decisions,
respond
emergencies,
ultimately
improve
patient
care.
The
also
discusses
ethical
practical
challenges
bringing
this
critical
field,
such
as
ensuring
data
privacy,
avoiding
biases
in
algorithms,
balancing
technology
with
essential
human
touch
By
highlighting
both
exciting
possibilities
real-world
challenges,
offers
a
thoughtful
guide
for
paramedics,
healthcare
leaders,
policymakers
on
responsibly
effectively
integrate
prehospital
care
systems.
successful
integration
requires
addressing
that
augments
rather
than
replaces
vital
element
emergency
medical
services.
Frontiers in Molecular Biosciences,
Год журнала:
2024,
Номер
11
Опубликована: Дек. 17, 2024
Thyroid
diseases,
including
functional
and
neoplastic
bring
a
huge
burden
to
people's
health.
Therefore,
timely
accurate
diagnosis
is
necessary.
Mass
spectrometry
(MS)
based
multi-omics
has
become
an
effective
strategy
reveal
the
complex
biological
mechanisms
of
thyroid
diseases.
The
exponential
growth
biomedical
data
promoted
applications
machine
learning
(ML)
techniques
address
new
challenges
in
biology
clinical
research.
In
this
review,
we
presented
detailed
review
ML
for
MS-based
disease.
It
primarily
divided
into
two
sections.
first
section,
multi-omics,
proteomics
metabolomics,
their
diseases
are
briefly
discussed.
second
several
commonly
used
unsupervised
supervised
algorithms,
such
as
principal
component
analysis,
hierarchical
clustering,
random
forest,
support
vector
machines
addressed,
integration
with
its
application
disease
explored.
UNSTRUCTURED
This
narrative
review
explores
the
transformative
journey
of
digital
health
interventions
over
past
25
years
and
envisions
its
future
trajectory
towards
2050.
Through
a
systematic
literature
analysis,
insightful
case
studies,
expert
opinions,
delves
into
emergence,
development,
impact
various
strategies
on
global
healthcare
delivery.
The
historical
section
traces
evolution
health,
from
pioneering
technologies
early
telehealth
experiments
to
mainstream
adoption
within
systems.
Key
milestones,
including
deployment
physiological
sensors,
internet-based
(Internet
Things;
IoT
Internet
Medical
IoMT),
mobile
(mHealth)
applications,
are
examined.
then
analyzes
demonstrated
effectiveness
in
disease
monitoring,
prevention,
management
through
studies
analyses.
It
technology
patient
engagement,
empowerment,
supportive
care.
Insights
renowned
experts,
obtained
questionnaire,
synthesized
identify
key
drivers,
barriers,
emerging
trends,
disruptive
innovations.
Furthermore,
critically
evaluates
ethical
legal
considerations
arising
widespread
use
solutions.
Challenges
surrounding
data
privacy,
equitable
access
(digital
divide),
regulatory
frameworks
addressed
inform
responsible
developments.
By
synthesizing
insights
quarter-century
advancements,
analyzing
identifying
this
comprehensive
provides
timely
multifaceted
perspective.
aims
guide
researchers,
practitioners,
policymakers
leveraging
power
revolutionize
delivery
improve
outcomes
globally
coming
decades
(Vision
2050).
European Journal Of Dental Education,
Год журнала:
2024,
Номер
29(1), С. 9 - 18
Опубликована: Сен. 28, 2024
ABSTRACT
Introduction
As
artificial
intelligence
(AI)
rapidly
evolves
in
dentistry,
understanding
dentists'
and
dental
students'
perspectives
is
key.
This
survey
evaluated
Australian
attitudes
perceptions
of
AI
dentistry.
Methods
An
online
questionnaire
developed
on
Qualtrics
was
distributed
among
registered
dentists
students
enrolled
accredited
or
oral
health
programmes.
Descriptive
bivariate
analyses
were
used
to
examine
the
demographic
variables
participant
attitudes.
Results
177
responses
received,
155
complete
data
analysis.
54.8%
aware
applications,
but
70.3%
could
not
name
a
specific
software.
A
majority
(91.6%)
viewed
as
supportive
tool,
with
69%
believing
that
it
would
be
beneficial
clinical
tasks
35.6%
expecting
perform
similarly
an
average
specialist.
40%
anticipated
routinely
next
5–10
years,
more
this
short‐term
integration.
Concerns
included
job
displacement,
inflexibility
patient
care,
mistrust
AI's
accuracy.
Attitudes
towards
influenced
by
age,
gender,
experience
technological
proficiency.
Conclusions
The
underscores
potential
revolutionise
enhancing
workflows
decision‐making.
However,
challenges
like
trust
ethical
concerns
remain.
It
recommended
practising
receive
hands‐on
training
tools
continuing
education
Integrating
into
curricula
fostering
interdisciplinary
teaching
research
collaborations
between
computer
science
dentistry
necessary
prepare
graduates
use
effectively
responsibly.
IntechOpen eBooks,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 31, 2024
This
chapter
delves
into
how
artificial
intelligence
(AI)
is
set
to
transform
paramedicine
practices.
It
explores
emerging
AI
technologies—like
wearable
devices,
autonomous
drones,
and
advanced
robotics—are
not
just
tools
of
the
future
but
are
beginning
change
paramedics
make
decisions,
respond
emergencies,
ultimately
improve
patient
care.
The
also
discusses
ethical
practical
challenges
bringing
this
critical
field,
such
as
ensuring
data
privacy,
avoiding
biases
in
algorithms,
balancing
technology
with
essential
human
touch
By
highlighting
both
exciting
possibilities
real-world
challenges,
offers
a
thoughtful
guide
for
paramedics,
healthcare
leaders,
policymakers
on
responsibly
effectively
integrate
prehospital
care
systems.
successful
integration
requires
addressing
that
augments
rather
than
replaces
vital
element
emergency
medical
services.
