Journal of Medical Imaging,
Journal Year:
2023,
Volume and Issue:
10(05)
Published: July 31, 2023
Artificial
intelligence
(AI)
presents
an
opportunity
in
anatomic
pathology
to
provide
quantitative
objective
support
a
traditionally
subjective
discipline,
thereby
enhancing
clinical
workflows
and
enriching
diagnostic
capabilities.
AI
requires
access
digitized
materials,
which,
at
present,
are
most
commonly
generated
from
the
glass
slide
using
whole-slide
imaging.
Models
developed
collaboratively
or
sourced
externally,
best
practices
suggest
validation
with
internal
datasets
closely
resembling
data
expected
practice.
Although
array
of
models
that
operational
for
improve
quality
capabilities
has
been
described,
them
can
be
categorized
into
one
more
discrete
types.
However,
their
function
workflow
vary,
as
single
algorithm
may
appropriate
screening
triage,
assistance,
virtual
second
opinion,
other
uses
depending
on
how
it
is
implemented
validated.
Despite
promise
AI,
barriers
adoption
have
numerous,
which
inclusion
new
stakeholders
expansion
reimbursement
opportunities
among
impactful
solutions.
Cancer Discovery,
Journal Year:
2024,
Volume and Issue:
14(4), P. 625 - 629
Published: April 4, 2024
Summary:
The
transition
from
2D
to
3D
spatial
profiling
marks
a
revolutionary
era
in
cancer
research,
offering
unprecedented
potential
enhance
diagnosis
and
treatment.
This
commentary
outlines
the
experimental
computational
advancements
challenges
molecular
profiling,
underscoring
innovation
needed
imaging
tools,
software,
artificial
intelligence,
machine
learning
overcome
implementation
hurdles
harness
full
of
analysis
field.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Aug. 25, 2023
Chemical
imaging,
especially
mid-infrared
spectroscopic
microscopy,
enables
label-free
biomedical
analyses
while
achieving
expansive
molecular
sensitivity.
However,
its
slow
speed
and
poor
image
quality
impede
widespread
adoption.
We
present
a
microscope
that
provides
high-throughput
recording,
low
noise,
high
spatial
resolution
where
the
bottom-up
design
of
optical
train
facilitates
dual-axis
galvo
laser
scanning
diffraction-limited
focal
point
over
large
areas
using
custom,
compound,
infinity-corrected
refractive
objectives.
demonstrate
whole-slide,
speckle-free
imaging
in
~3
min
per
discrete
wavelength
at
10×
magnification
(2
μm/pixel)
high-resolution
capability
with
20×
counterpart
(1
μm/pixel),
both
offering
theoretical
limits
maintaining
signal-to-noise
ratios
(>100:1).
The
data
applications
modern
machine
learning
capabilities
not
previously
feasible
-
3D
reconstructions
serial
sections,
comprehensive
assessments
whole
model
organisms,
histological
disease
time
comparable
to
clinical
workflows.
Distinct
from
conventional
approaches
focus
on
morphological
investigations
or
immunostaining
techniques,
this
development
makes
minimally
processed
tissue
practical.
Journal of Medical Imaging,
Journal Year:
2023,
Volume and Issue:
10(05)
Published: July 31, 2023
Artificial
intelligence
(AI)
presents
an
opportunity
in
anatomic
pathology
to
provide
quantitative
objective
support
a
traditionally
subjective
discipline,
thereby
enhancing
clinical
workflows
and
enriching
diagnostic
capabilities.
AI
requires
access
digitized
materials,
which,
at
present,
are
most
commonly
generated
from
the
glass
slide
using
whole-slide
imaging.
Models
developed
collaboratively
or
sourced
externally,
best
practices
suggest
validation
with
internal
datasets
closely
resembling
data
expected
practice.
Although
array
of
models
that
operational
for
improve
quality
capabilities
has
been
described,
them
can
be
categorized
into
one
more
discrete
types.
However,
their
function
workflow
vary,
as
single
algorithm
may
appropriate
screening
triage,
assistance,
virtual
second
opinion,
other
uses
depending
on
how
it
is
implemented
validated.
Despite
promise
AI,
barriers
adoption
have
numerous,
which
inclusion
new
stakeholders
expansion
reimbursement
opportunities
among
impactful
solutions.
