An overview of Metaverse in healthcare. Potential application in forensic and legal medicine
Forensic Science Medicine and Pathology,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 14, 2025
Язык: Английский
Artificial Intelligence for Predicting Progression and Personalizing Healthcare to Alzheimer's Disease Patients
Advances in healthcare information systems and administration book series,
Год журнала:
2025,
Номер
unknown, С. 155 - 190
Опубликована: Янв. 10, 2025
This
chapter
explains
the
use
of
Deep
Learning
Models
from
Artificial
Intelligence
(AI)
that
take
Structural
and
Functional
Magnetic
Resonance
Imaging
(S/FMRI)
data
to
classify
Alzheimer's
disease
(AD)
progression
stages.
Early
accurate
diagnosis
AD
is
necessary
for
timely
intervention,
treatment
planning,
providing
personalized
healthcare.
Current
limitations
in
diagnostic
methods
necessitate
using
AI
such
as
Convolutional
Neural
Networks
(CNN)
Recurrent
(RNN)
extract
features
MRI
develop
models
predicting
Mild
Cognitive
Impairment
(MCI),
AD,
Dementia.
Initial
results
a
case
study
applied
methodology
demonstrated
improved
classification
accuracy
over
traditional
accurately
classifying
stages
developing
patient
care.
With
more
refinement
technologies
progress,
these
computational
approaches
can
drastically
positively
change
Healthcare
professionals
benefit
this
by
understanding
how
be
implemented
deal
with
neurodegenerative
diseases.
Язык: Английский
Early progression detection from MCI to AD using multi-view MRI for enhanced assisted living
Image and Vision Computing,
Год журнала:
2025,
Номер
unknown, С. 105491 - 105491
Опубликована: Март 1, 2025
Язык: Английский
Extended reality for neurocognitive assessment: A systematic review
Journal of Psychiatric Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 1, 2025
Язык: Английский
Enhancing elderly patient journey: exploring immersive technology touchpoints and user experience in healthcare
Journal of Strategic Marketing,
Год журнала:
2025,
Номер
unknown, С. 1 - 19
Опубликована: Март 24, 2025
Язык: Английский
Toward Diagnosis of Diseases Using Emerging Technologies: A Comprehensive Survey of the State of the Art in Metaverse
International Journal of Intelligent Systems,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Introduction:
The
Metaverse,
a
rapidly
growing
technology
in
healthcare,
is
proving
to
be
game‐changer
early
disease
detection
and
diagnosis.
This
study
aimed
identify
the
latest
scientific
achievements
such
as
its
effects,
associated
technologies,
obstacles
for
diagnosing
diseases.
Methods:
In
this
review
study,
databases,
including
PubMed
Web
of
Science,
were
searched
using
related
keywords.
Related
studies
about
Metaverse
diagnosis
included
according
inclusion
exclusion
criteria.
Data
extraction
was
done
data
form.
findings
summarized
reported
tables
figures
objectives.
Results:
From
1706
retrieved
articles,
28
Most
conducted
2023
(13
out
28).
13
groups
specialists
used
diagnose
diseases;
oncologists
neurologists
it
more
than
others.
most
important
technological
aspects
six
main
categories,
computer
vision,
artificial
intelligence,
virtual
reality,
blockchain,
digital
twin,
cloud
computing.
Metaverse’s
effects
diagnostic
interventions
22
subcategories
five
improving
diagnosis,
facilitating
interactions,
education,
better
future,
uncertainty.
role
particularly
significant.
challenges
seven
subcategories:
studies,
financial
limitations,
issues,
structural
legal
ethical
acceptance,
nature
Metaverse.
Conclusion:
Given
pivotal
accurate
patients
treatment
plans,
potential
complex
challenging
diagnoses
However,
note
that
can
only
fully
realized
through
further
research
on
utilizing
specifically
call
additional
not
just
suggestion
but
necessity
future
healthcare.
Язык: Английский
Multimodal fusion architectures for Alzheimer’s disease diagnosis: An experimental study
Journal of Biomedical Informatics,
Год журнала:
2025,
Номер
166, С. 104834 - 104834
Опубликована: Май 6, 2025
Язык: Английский
Research on Interactive Teaching System and Method Based on Augmented Reality
Transactions on Economics Business and Management Research,
Год журнала:
2024,
Номер
8, С. 226 - 230
Опубликована: Авг. 9, 2024
This
study
provides
an
interactive
teaching
system
and
method
based
on
augmented
reality,
belonging
to
the
field
of
educational
technology.
The
reality
feature
that
includes
a
core
processing
module,
content
creation
management
user
interaction
data
analysis
evaluation
technical
support
maintenance
module.
learning
behavior
unit
tracks
paths
data,
effectiveness
uses
big
evaluate
outcomes
strategies,
personalized
recommendation
recommends
resources
or
adjusts
student
performance,
utilizes
deep
prediction
models
for
multidimensional
evaluation,
real-time
feedback,
guides
adjustments
offers
remote
diagnostics,
automatic
updates,
fault
prevention,
adopts
predictive
strategies
reduce
downtime,
operates
24/7
customer
service
instantly
resolve
issues,
ensuring
activities
are
not
disrupted.
Язык: Английский