Frontiers in Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
6
Published: Jan. 5, 2024
Patients
with
facial
trauma
may
suffer
from
injuries
such
as
broken
bones,
bleeding,
swelling,
bruising,
lacerations,
burns,
and
deformity
in
the
face.
Common
causes
of
facial-bone
fractures
are
results
road
accidents,
violence,
sports
injuries.
Surgery
is
needed
if
patient
would
be
deprived
normal
functioning
or
subject
to
based
on
findings
radiology.
Although
image
reading
by
radiologists
useful
for
evaluating
suspected
fractures,
there
certain
challenges
human-based
diagnostics.
Artificial
intelligence
(AI)
making
a
quantum
leap
radiology,
producing
significant
improvements
reports
workflows.
Here,
an
updated
literature
review
presented
impact
AI
special
reference
fracture
detection
The
purpose
gain
insights
into
current
development
demand
future
research
trauma.
This
also
discusses
limitations
overcome
important
issues
investigation
order
make
applications
more
effective
realistic
practical
settings.
publications
selected
were
their
clinical
significance,
journal
metrics,
indexing.
Pharmaceutics,
Journal Year:
2023,
Volume and Issue:
15(7), P. 1916 - 1916
Published: July 10, 2023
Artificial
intelligence
(AI)
has
emerged
as
a
powerful
tool
that
harnesses
anthropomorphic
knowledge
and
provides
expedited
solutions
to
complex
challenges.
Remarkable
advancements
in
AI
technology
machine
learning
present
transformative
opportunity
the
drug
discovery,
formulation,
testing
of
pharmaceutical
dosage
forms.
By
utilizing
algorithms
analyze
extensive
biological
data,
including
genomics
proteomics,
researchers
can
identify
disease-associated
targets
predict
their
interactions
with
potential
candidates.
This
enables
more
efficient
targeted
approach
thereby
increasing
likelihood
successful
approvals.
Furthermore,
contribute
reducing
development
costs
by
optimizing
research
processes.
Machine
assist
experimental
design
pharmacokinetics
toxicity
capability
prioritization
optimization
lead
compounds,
need
for
costly
animal
testing.
Personalized
medicine
approaches
be
facilitated
through
real-world
patient
leading
effective
treatment
outcomes
improved
adherence.
comprehensive
review
explores
wide-ranging
applications
delivery
form
designs,
process
optimization,
testing,
pharmacokinetics/pharmacodynamics
(PK/PD)
studies.
an
overview
various
AI-based
utilized
technology,
highlighting
benefits
drawbacks.
Nevertheless,
continued
investment
exploration
industry
offer
exciting
prospects
enhancing
processes
care.
Bioengineering,
Journal Year:
2023,
Volume and Issue:
10(12), P. 1435 - 1435
Published: Dec. 18, 2023
The
integration
of
artificial
intelligence
(AI)
into
medical
imaging
has
guided
in
an
era
transformation
healthcare.
This
literature
review
explores
the
latest
innovations
and
applications
AI
field,
highlighting
its
profound
impact
on
diagnosis
patient
care.
innovation
segment
cutting-edge
developments
AI,
such
as
deep
learning
algorithms,
convolutional
neural
networks,
generative
adversarial
which
have
significantly
improved
accuracy
efficiency
image
analysis.
These
enabled
rapid
accurate
detection
abnormalities,
from
identifying
tumors
during
radiological
examinations
to
detecting
early
signs
eye
disease
retinal
images.
article
also
highlights
various
imaging,
including
radiology,
pathology,
cardiology,
more.
AI-based
diagnostic
tools
not
only
speed
up
interpretation
complex
images
but
improve
disease,
ultimately
delivering
better
outcomes
for
patients.
Additionally,
processing
facilitates
personalized
treatment
plans,
thereby
optimizing
healthcare
delivery.
paradigm
shift
that
brought
role
revolutionizing
By
combining
techniques
their
practical
applications,
it
is
clear
will
continue
shaping
future
positive
ways.
npj Precision Oncology,
Journal Year:
2024,
Volume and Issue:
8(1)
Published: March 29, 2024
Abstract
This
review
delves
into
the
most
recent
advancements
in
applying
artificial
intelligence
(AI)
within
neuro-oncology,
specifically
emphasizing
work
on
gliomas,
a
class
of
brain
tumors
that
represent
significant
global
health
issue.
AI
has
brought
transformative
innovations
to
tumor
management,
utilizing
imaging,
histopathological,
and
genomic
tools
for
efficient
detection,
categorization,
outcome
prediction,
treatment
planning.
Assessing
its
influence
across
all
facets
malignant
management-
diagnosis,
prognosis,
therapy-
models
outperform
human
evaluations
terms
accuracy
specificity.
Their
ability
discern
molecular
aspects
from
imaging
may
reduce
reliance
invasive
diagnostics
accelerate
time
diagnoses.
The
covers
techniques,
classical
machine
learning
deep
learning,
highlighting
current
applications
challenges.
Promising
directions
future
research
include
multimodal
data
integration,
generative
AI,
large
medical
language
models,
precise
delineation
characterization,
addressing
racial
gender
disparities.
Adaptive
personalized
strategies
are
also
emphasized
optimizing
clinical
outcomes.
Ethical,
legal,
social
implications
discussed,
advocating
transparency
fairness
integration
neuro-oncology
providing
holistic
understanding
impact
patient
care.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: April 28, 2023
Abstract
Human
health
is
determined
by
the
interaction
of
our
environment
with
genome,
epigenome,
and
microbiome,
which
shape
transcriptomic,
proteomic,
metabolomic
landscape
cells
tissues.
Precision
environmental
an
emerging
field
leveraging
system-level
(‘omic)
data
to
understand
underlying
causes
disease,
identify
biomarkers
exposure
response,
develop
new
prevention
intervention
strategies.
In
this
article
we
provide
real-life
illustrations
utility
precision
approaches,
current
challenges
in
field,
outline
opportunities
promote
through
a
framework.
Intelligent
agents
are
showing
increasing
promise
for
clinical
decision-making
in
a
variety
of
healthcare
settings.
While
substantial
body
work
has
contributed
to
the
best
strategies
convey
these
agents'
decisions
clinicians,
few
have
considered
impact
personalizing
and
customizing
communications
on
clinicians'
performance
receptiveness.
This
raises
question
how
intelligent
should
adapt
their
tone
accordance
with
target
audience.
We
designed
two
approaches
communicate
an
agent
breast
cancer
diagnosis
different
tones:
suggestive
(non-assertive)
imposing
(assertive)
one.
used
inform
about:
(1)
number
detected
findings;
(2)
severity
each
per
medical
imaging
modality;
(3)
visual
scale
representing
estimates;
(4)
sensitivity
specificity
agent;
(5)
arguments
patient,
such
as
pathological
co-variables.
Our
results
demonstrate
that
assertiveness
plays
important
role
this
communication
is
perceived
its
benefits.
show
according
professional
experience
clinician
can
reduce
errors
increase
satisfaction,
bringing
novel
perspective
design
adaptive
between
clinicians.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 10, 2024
The
simulation
of
human
intelligence
in
robots
that
are
designed
to
think
and
learn
like
humans
is
known
as
artificial
(AI).
AI
creating
a
world
has
never
been
seen
before.
By
applying
do
jobs
would
otherwise
take
long
time,
have
the
chance
improve
our
planet.
great
potential
genetic
engineering
gene
therapy
research.
powerful
tool
for
new
hypotheses
helping
with
experimental
techniques.
From
previous
data
model,
it
can
help
detection
heredity
gene-related
disorders.
developments
offer
an
excellent
possibility
rational
drug
discovery
design,
eventually
impacting
humanity.
Drug
development
depend
greatly
on
machine
learning
(ML)
technology.
Genetics
not
exception
this
trend,
ML
expected
impact
nearly
every
aspect
experience.
significantly
aided
treatment
various
biomedical
conditions,
including
In
both
basic
applied
research,
deep
-
highly
versatile
branch
enables
autonomous
feature
extraction
increasingly
exploited.
review,
we
cover
broad
spectrum
current
uses
genetics.
enormous
field
genetics,
but
its
advancement
area
may
be
hampered
future
by
lack
knowledge
about
accompanying
difficulties
could
mask
any
possible
benefits
patients.
This
paper
examines
AI's
significance
advancing
precision
disease
treatment,
provides
peek
at
use
clinical
care,
number
existing
clinician
primer
critical
aspects
these
technologies,
makes
predictions
applications
illnesses.
