Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans?
Published: March 18, 2024
Artificial
intelligence
(AI)
is
experiencing
advances
and
integration
in
all
medical
specializations,
this
creates
excitement
but
also
concerns.
This
narrative
review
aims
at
a
critical
assessment
of
the
state
art
AI
field
endometriosis
adenomyosis.
By
enabling
automation,
may
speed
up
some
routine
tasks,
decreasing
gynecologists’
risk
burnout,
as
well
them
to
spend
more
time
interacting
with
their
patients,
increasing
efficiency
patients’
perception
being
taken
care
of.
Surgery
benefit
from
AI,
especially
through
its
robotic
surgery
systems.
improve
detection
anatomical
structures
enhance
surgical
outcomes
by
combining
intra-operative
findings
pre-operative
imaging.
Not
only,
promises
quality
facilitating
clinical
research
introduction
decision
support
tools
that
can
diagnostic
predict
treatment
effectiveness
side
effects,
reproductive
prognosis
cancer
risk.
However,
concerns
exist
regarding
fact
good
data
used
tool
development
compliance
sharing
guidelines
are
crucial.
Also,
professionals
worried
render
certain
specialists
obsolete.
said,
likely
become
well-liked
team
member
rather
than
usurper.
Language: Английский
From Diagnosis to Fertility: Optimizing Treatment of Adenomyosis for Reproductive Health
Journal of Clinical Medicine,
Journal Year:
2024,
Volume and Issue:
13(16), P. 4926 - 4926
Published: Aug. 21, 2024
Adenomyosis
is
a
benign
gynecologic
disorder
that
had
previously
not
been
well
studied
or
understood.
However,
it
now
become
more
common
diagnosis
with
long-standing
implications
especially
for
fertility.
In
this
literature
review,
the
pathophysiology
and
along
management
options
uterine
preservation
fertility
definitive
are
reviewed.
While
there
better
understanding
of
adenomyosis,
still
research
needed
to
fully
elucidate
best
ways
patients
in
those
seeking
Language: Английский