Clinical and Translational Science,
Journal Year:
2025,
Volume and Issue:
18(3)
Published: March 1, 2025
ABSTRACT
Approaches
to
artificial
intelligence
and
machine
learning
(AI/ML)
continue
advance
in
the
field
of
drug
development.
A
sound
understanding
underlying
concepts
guiding
principles
AI/ML
implementation
is
a
prerequisite
identifying
which
approach
most
appropriate
based
on
context.
This
tutorial
focuses
popular
eXtreme
gradient
boosting
(XGBoost)
algorithm
for
classification
regression
simple
clinical
trial‐like
datasets.
Emphasis
placed
relating
code
implementation.
In
doing
so,
aim
reader
gain
knowledge
about
become
better
versed
with
how
implement
functions
relevant
development
questions.
turn,
this
will
provide
practical
ML
experience
can
be
applied
algorithms
problems
beyond
scope
tutorial.
Annals of Medicine and Surgery,
Journal Year:
2025,
Volume and Issue:
87(4), P. 1947 - 1968
Published: Feb. 27, 2025
Background:
The
application
of
artificial
intelligence
(AI)
in
cardiac
imaging
has
rapidly
evolved,
offering
enhanced
accuracy
and
efficiency
the
diagnosis
management
cardiovascular
diseases.
This
bibliometric
study
aimed
to
evaluate
research
trends,
impact,
scholarly
output
this
expanding
field.
Methods:
A
systematic
search
was
conducted
on
14
August
2024
using
Web
Science
Core
Collection
database.
VOSviewer,
CiteSpace,
Biblioshiny
were
utilized
for
data
analysis.
Results:
findings
revealed
a
significant
increase
publications
AI
imaging,
particularly
from
2018
2023,
with
United
States
leading
output.
England
have
emerged
as
central
hubs
global
network,
highlighting
their
role
generating
high-quality
impactful
publications.
University
London
identified
top
contributing
institution,
while
Frontiers
Cardiovascular
Medicine
most
prolific
journal.
Keyword
analysis
highlighted
machine
learning,
echocardiography,
frequently
occurring
terms.
time
trend
showed
shift
focus
toward
applications
computed
tomography
(CT)
magnetic
resonance
(MRI),
recent
keywords
like
ejection
fraction,
risk,
heart
failure
reflecting
emerging
areas
interest.
Conclusion:
Healthcare
providers
should
consider
integrating
tools
into
practice,
demonstrated
potential
enhance
diagnostic
improve
patient
outcomes.
highlights
rising
importance
personalized
predictive
care,
urging
healthcare
stay
informed
about
these
advancements
clinical
decision-making
management.
Clinical and Translational Science,
Journal Year:
2025,
Volume and Issue:
18(3)
Published: March 1, 2025
ABSTRACT
Approaches
to
artificial
intelligence
and
machine
learning
(AI/ML)
continue
advance
in
the
field
of
drug
development.
A
sound
understanding
underlying
concepts
guiding
principles
AI/ML
implementation
is
a
prerequisite
identifying
which
approach
most
appropriate
based
on
context.
This
tutorial
focuses
popular
eXtreme
gradient
boosting
(XGBoost)
algorithm
for
classification
regression
simple
clinical
trial‐like
datasets.
Emphasis
placed
relating
code
implementation.
In
doing
so,
aim
reader
gain
knowledge
about
become
better
versed
with
how
implement
functions
relevant
development
questions.
turn,
this
will
provide
practical
ML
experience
can
be
applied
algorithms
problems
beyond
scope
tutorial.
