A Review of Biosensors and Artificial Intelligence in Healthcare and their Clinical Significance
Psychology & Psychological Research International Journal,
Год журнала:
2024,
Номер
9(1), С. 1 - 23
Опубликована: Янв. 1, 2024
In
the
past
decade,
a
substantial
increase
in
medical
data
from
various
sources,
including
wearable
sensors,
imaging,
personal
health
records,
and
public
organizations,
has
propelled
advancements
sciences.
The
evolution
of
computational
hardware,
such
as
cloud
computing,
GPUs,
FPGAs,
TPUs,
enabled
effective
utilization
this
vast
amount
data.
Consequently,
sophisticated
AI
techniques
have
been
developed
to
extract
valuable
insights
healthcare
datasets.
This
article
provides
comprehensive
overview
recent
developments
biosensors
within
life
review
highlights
role
machine
learning
key
areas
precision
medicine,
designed
for
Internet
Things
(IoT).
Emphasis
is
placed
on
latest
progress
biosensing
technologies,
where
plays
pivotal
monitoring
electro-physiological
electro-chemical
signals
aiding
disease
diagnosis.
These
underscore
growing
trend
towards
personalized
offering
precise
costefficient
point-of-care
treatment.
Additionally,
delves
into
computing
accelerated
AI,
edge
federated
specifically
tailored
challenges
associated
with
data-driven
approaches,
potential
issues
arising
IoT-based
healthcare,
distribution
shifts
among
different
modalities
are
thoroughly
explored.
discussion
concludes
future
prospects
field.
Язык: Английский
AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(11), С. 1088 - 1088
Опубликована: Ноя. 1, 2024
Artificial
intelligence
(AI)
techniques
offer
great
potential
to
advance
point-of-care
testing
(POCT)
and
wearable
sensors
for
personalized
medicine
applications.
This
review
explores
the
recent
advances
transformative
of
use
AI
in
improving
wearables
POCT.
The
integration
significantly
contributes
empowering
these
tools
enables
continuous
monitoring,
real-time
analysis,
rapid
diagnostics,
thus
enhancing
patient
outcomes
healthcare
efficiency.
Wearable
powered
by
models
tremendous
opportunities
precise
non-invasive
tracking
physiological
conditions
that
are
essential
early
disease
detection
treatments.
AI-empowered
POCT
facilitates
rapid,
accurate
making
medical
kits
accessible
available
even
resource-limited
settings.
discusses
key
applications
data
processing,
sensor
fusion,
multivariate
analytics,
highlighting
case
examples
exhibit
their
impact
different
scenarios.
In
addition,
challenges
associated
with
privacy,
regulatory
approvals,
technology
integrations
into
existing
system
have
been
overviewed.
outlook
emphasizes
urgent
need
continued
innovation
AI-driven
health
technologies
overcome
fully
achieve
revolutionize
medicine.
Язык: Английский
AI-Optimized Electrochemical Aptasensors for Stable, Reproducible Detection of Neurodegenerative Diseases, Cancer, and Coronavirus
Heliyon,
Год журнала:
2024,
Номер
11(1), С. e41338 - e41338
Опубликована: Дек. 18, 2024
AI-optimized
electrochemical
aptasensors
are
transforming
diagnostic
testing
by
offering
high
sensitivity,
selectivity,
and
rapid
response
times.
Leveraging
data-driven
AI
techniques,
these
sensors
provide
a
non-invasive,
cost-effective
alternative
to
traditional
methods,
with
applications
in
detecting
molecular
biomarkers
for
neurodegenerative
diseases,
cancer,
coronavirus.
The
performance
metrics
outlined
the
comparative
table
illustrate
significant
advancements
enabled
integration.
Sensitivity
increases
from
60
75
%
ordinary
85-95
%,
while
specificity
improves
70-80
90-98
%.
This
enhanced
allows
ultra-low
detection
limits,
such
as
10
fM
carcinoembryonic
antigen
(CEA)
20
mucin-1
(MUC1)
using
Electrochemical
Impedance
Spectroscopy
(EIS),
1
pM
prostate-specific
(PSA)
Differential
Pulse
Voltammetry
(DPV).
Similarly,
Square
Wave
(SWV)
potentiometric
have
detected
alpha-fetoprotein
(AFP)
at
5
epithelial
cell
adhesion
molecule
(EpCAM)
100
fM,
respectively.
integration
also
enhances
reproducibility,
reduces
false
positives
negatives
(from
15-20
5-10
%),
significantly
decreases
times
10-15
s
2-3
s).
These
improve
data
processing
speeds
min
per
sample
2-5
min)
calibration
accuracy
(<2
margin
of
error
compared
expanding
application
scope
multi-target
biomarker
detection.
review
highlights
how
position
powerful
tools
personalized
treatment,
point-of-care
testing,
continuous
health
monitoring.
Despite
higher
cost
($500-$1,500/unit),
their
portability
promise
revolutionize
healthcare,
environmental
monitoring,
food
safety,
ultimately
improving
public
outcomes.
Язык: Английский