Role of 3D printing in healthcare: A comprehensive review on treatment and training
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 22, 2025
Additive
manufacturing
(AM)
is
revolutionizing
healthcare
by
enabling
the
creation
of
customized
3D
printed
(3DP)
medical
equipment,
implants,
orthoses,
prosthetics,
drugs,
and
organs.
With
availability
different
types
materials
suitable
for
3DP
applications,
this
technology
allows
precise
fabrication
patient-oriented
dental
orthopedic
devices,
significantly
improving
fit
functionality.
Additionally,
such
as
Oral
Dispersible
Formulations
(ODFs)
polypills,
are
surpassing
traditional
“one
pill
fits
all”
concept,
offering
more
tailored
medication
solutions.
This
innovation
also
supports
development
personalized
medications
bioprinted
tissues,
opening
way
advancements
in
regenerative
therapies.
3D-bioprinted
organs
addressing
growing
demand
organ
transplants.
In
surgical
planning,
3D-printed
anatomical
models
provide
students
professionals
with
hands-on
practice,
which
crucial
skill
understanding
complex
anatomies.
Surgeons
can
practice
refine
techniques
before
actual
procedures,
enhancing
precision
outcomes
during
real
operations.
paper
focus
on
highlighting
progression
motivations
behind
cross-disciplinary
applications
AM
within
sector
providing
drug
delivery
systems
diagnostic
tools
treatment
refinement.
designed
a
broad
audience,
including
researchers,
who
interested
exploring
implications
transformative
technology.
Language: Английский
Machine Learning in 3D and 4D Printing of Polymer Composites: A Review
Polymers,
Journal Year:
2024,
Volume and Issue:
16(22), P. 3125 - 3125
Published: Nov. 8, 2024
The
emergence
of
3D
and
4D
printing
has
transformed
the
field
polymer
composites,
facilitating
fabrication
complex
structures.
As
these
manufacturing
techniques
continue
to
progress,
integration
machine
learning
(ML)
is
widely
utilized
enhance
aspects
processes.
This
includes
optimizing
material
properties,
refining
process
parameters,
predicting
performance
outcomes,
enabling
real-time
monitoring.
paper
aims
provide
an
overview
recent
applications
ML
in
composites.
By
highlighting
intersection
technologies,
this
seeks
identify
existing
trends
challenges,
outline
future
directions.
Language: Английский