Comment on sentinel lymph node biopsy in early-stage maxillary cancer
Xuan Xiao,
No information about this author
Mengmeng Lu,
No information about this author
T. Liu
No information about this author
et al.
Oral Oncology,
Journal Year:
2025,
Volume and Issue:
162, P. 107221 - 107221
Published: Feb. 15, 2025
Language: Английский
The Role of Artificial Intelligence in Enhancing Breast Disease Management: Early Detection and Prognostic Innovations
Marwan Al‐Raeei
No information about this author
Archives of Medicine and Health Sciences,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
Abstract
In
this
article,
we
review
the
transformative
role
of
artificial
intelligence
(AI)
in
detection,
diagnosis,
and
treatment
breast
cancer,
a
disease
that
affects
approximately
1
8
women
globally.
Early
detection
is
critical
for
improving
outcomes
survival
rates.
Traditional
diagnostic
methods,
such
as
mammograms
MRIs,
can
be
subjective
prone
to
error.
AI-powered
algorithms
offer
solution
by
analyzing
medical
imaging
data
with
exceptional
accuracy,
identifying
subtle
abnormalities
may
indicate
early-stage
cancer.
By
enhancing
precision,
these
facilitate
quicker
diagnoses
tailored
plans,
ultimately
patient
outcomes.
Furthermore,
AI
has
potential
predict
cancer
recurrence
assess
tumor
aggressiveness
examining
large
datasets,
providing
valuable
insights
clinicians.
This
personalized
approach
allows
targeted
therapies
increase
likelihood
successful
treatment.
We
explore
integration
remote
monitoring
prognostic
tools,
emphasizing
its
ability
analyze
complex
patterns
more
accurate
recommendations.
However,
also
discuss
limitations
AI,
need
high-quality,
diverse
interpretability
issues,
ethical
concerns
regarding
privacy
algorithmic
bias.
Addressing
challenges
crucial
implementation
care.
Ultimately,
article
highlights
promising
future
while
stressing
importance
considerations
equitable
access
advanced
technologies.
Language: Английский
Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care
Computers in Biology and Medicine,
Journal Year:
2025,
Volume and Issue:
191, P. 110178 - 110178
Published: April 14, 2025
Language: Английский
Artificial intelligence for climate resilience: advancing sustainable goals in SDGs 11 and 13 and its relationship to pandemics
Marwan Al‐Raeei
No information about this author
Discover Sustainability,
Journal Year:
2024,
Volume and Issue:
5(1)
Published: Dec. 23, 2024
Language: Английский
The Evolution of Job Displacement in the Age of AI and Automation: A Bibliometric Review (1984–2024)
A Subaveerapandiyan,
No information about this author
Somipam R. Shimray
No information about this author
Open Information Science,
Journal Year:
2024,
Volume and Issue:
8(1)
Published: Jan. 1, 2024
Abstract
This
study
presents
a
comprehensive
bibliometric
analysis
of
the
scientific
literature
about
artificial
intelligence
(AI),
automation,
and
job
displacement
from
1984
to
2024.
Utilizing
Scopus
database,
225
relevant
documents
were
retrieved
analysed
using
R
Studio
VOSviewer.
The
reveals
significant
trends
in
publication
growth,
citation
metrics,
collaborative
networks
among
researchers
institutions.
Notable
findings
indicate
marked
increase
research
output
during
key
technological
advancements,
highlighting
evolving
discourse
surrounding
implications
AI
automation
on
workforce.
identifies
prevailing
themes
within
through
keyword
explores
interconnectedness
contributions
across
various
domains.
review
aims
provide
foundational
understanding
current
landscape
future
directions
studying
AI,
displacement.
Language: Английский
Revolutionizing oral health care: The promise of terahertz radiation for oral oncological lesions
Alice AlSabbag,
No information about this author
Marwan Al‐Raeei
No information about this author
Saudi Journal of Oral Sciences,
Journal Year:
2024,
Volume and Issue:
11(3), P. 156 - 165
Published: Sept. 1, 2024
Abstract
Terahertz
(THz)
radiation
offers
nondestructive,
nonionizing
treatment
for
medical
conditions
like
tumors
and
dental
diseases.
With
recent
technological
advances,
it
shows
promise
in
accurate
imaging,
diagnosis,
treatment,
especially
oral
oncology.
Its
potential
health
care
is
vast
groundbreaking.
In
the
field
of
medicine
oncology,
lesions
present
a
significant
challenge
diagnosis
treatment.
Common
types
include
fibromas,
mucoceles,
periodontal
cysts,
dentigerous
root
osteonecrosis
jaws.
Conventional
treatments
these
often
involve
invasive
procedures
with
side
effects.
However,
use
THz
waves
as
diagnostic
approach
providing
safer
more
effective
solutions.
By
leveraging
unique
properties
photons
developing
advanced
amplification
techniques,
can
target
specific
precision,
minimizing
damage
to
surrounding
healthy
tissues.
Continued
research
advancements
this
area
have
revolutionize
management
tumors.
Utilizing
lesion
therapy,
we
precision
based
on
their
dissociation
energy.
This
minimizes
harm
tissues,
making
alternative
ionizing
X-rays.
The
nature
reduces
risk
effects
such
cell
cancer
development.
Further
needed
fully
understand
effectiveness
safety
therapy
various
Safety
precautions,
proper
training,
ethical
considerations
are
essential
when
working
radiation.
approaching
technology
caution
awareness,
maximize
its
benefits
while
ensuring
responsible
use.
Language: Английский