Ethical considerations of AI-driven content in anesthesia practice
Indian Journal of Clinical Anaesthesia,
Journal Year:
2025,
Volume and Issue:
12(1), P. 1 - 3
Published: Jan. 15, 2025
Language: Английский
Consciousness Research Through Pain
Healthcare,
Journal Year:
2025,
Volume and Issue:
13(3), P. 332 - 332
Published: Feb. 6, 2025
Background/Objectives:
Consciousness
is
a
complex
and
elusive
phenomenon
encompassing
self-awareness,
sensory
perception,
emotions,
cognition.
Despite
significant
advances
in
neuroscience,
understanding
the
neural
mechanisms
underlying
consciousness
remains
challenging.
Pain,
as
subjective
multifaceted
experience,
offers
unique
lens
for
exploring
by
integrating
inputs
with
emotional
cognitive
dimensions.
This
study
examines
relationship
between
pain,
highlighting
potential
of
pain
model
interplay
experience
activity.
Methods:
Literature
review.
Results:
Key
theories
consciousness,
such
Global
Workspace
Theory
Integrated
Information
Theory,
provide
diverse
frameworks
interpreting
emergence
consciousness.
Similarly,
research
emphasizes
role
interpretation
context
shaping
experiences,
reflecting
broader
challenges
studies.
The
limitations
current
methodologies,
particularly
difficulty
objectively
measuring
phenomena,
like
are
also
addressed.
highlights
importance
correlates,
particular
focus
on
brain
regions,
anterior
cingulate
cortex
insula,
which
bridge
experiences.
By
analyzing
shared
attributes
this
underscores
to
serve
measurable
proxy
research.
Conclusions:
Ultimately,
it
contributes
unraveling
philosophical
underpinnings
offering
implications
mental
health
treatment
advancements
artificial
intelligence.
fills
critical
gap
leveraging
reproducible
combining
theoretical
empirical
evidence,
novel
insights
into
how
emerges
from
processes.
Language: Английский
A roadmap for artificial intelligence in pain medicine: current status, opportunities, and requirements
Current Opinion in Anaesthesiology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 24, 2025
Purpose
of
review
Artificial
intelligence
(AI)
represents
a
transformative
opportunity
for
pain
medicine,
offering
potential
solutions
to
longstanding
challenges
in
assessment
and
management.
This
synthesizes
the
current
state
AI
applications
with
strategic
framework
implementation,
highlighting
established
adaptation
pathways
from
adjacent
medical
fields.
Recent
findings
In
acute
pain,
systems
have
achieved
regulatory
approval
ultrasound
guidance
regional
anesthesia
shown
promise
automated
scoring
through
facial
expression
analysis.
For
chronic
management,
machine
learning
algorithms
improved
diagnostic
accuracy
musculoskeletal
conditions
enhanced
treatment
selection
predictive
modeling.
Successful
integration
requires
interdisciplinary
collaboration
physician
coleadership
throughout
development
process,
specific
adaptations
needed
pain-specific
challenges.
Summary
roadmap
outlines
comprehensive
methodological
emphasizing
four
key
phases:
problem
definition,
algorithm
development,
validation,
implementation.
Critical
areas
future
include
perioperative
trajectory
prediction,
real-time
procedural
guidance,
personalized
optimization.
Success
ultimately
depends
on
maintaining
strong
partnerships
between
clinicians,
developers,
researchers
while
addressing
ethical,
regulatory,
educational
considerations.
Language: Английский