Journal of Limb Lengthening & Reconstruction,
Journal Year:
2024,
Volume and Issue:
10(1), P. 22 - 27
Published: Jan. 1, 2024
Abstract
Introduction:
While
traditionally
a
treatment
for
congenital
deformities,
limb-lengthening
surgery
has
recently
been
utilized
as
cosmetic
solution
patients
with
less-than-desirable
heights.
Despite
growing
rise
in
popularity,
stature-lengthening
carries
host
of
social
stigmas
and
ethical
concerns.
With
the
emergence
natural
language
processing
artificial
intelligence
(NLP
AI)
models
such
ChatGPT,
interested
may
turn
to
these
chatbots
medical
information
instead
primary
care
providers.
This
study
seeks
evaluate
quality
readability
NLP
AI
model
responses
common
questions
regarding
ensure
proper
patient
education
direction
toward
licensed
orthopedic
surgeon.
Materials
Methods:
Eleven
were
posed
ChatGPT
version
3.5.
All
named
authors
reviewed
independently
following
scoring
systems
assess
quality:
DISCERN,
Response
Accuracy
Scoring
(CRAS)
developed
by
Mika
et
al
.,
Flesch–Kincaid
Reading
Ease
(FRES),
Grade
Level
(FKGL).
Cohen’s
kappa
was
determine
inter-rater
reliability
between
each
reviewer’s
assigned
DISCERN
CRAS
scores.
Results:
The
average
score
across
all
independent
reviewers
55.2
±
5.63,
an
0.293,
indicating
good
scores
fair
agreement,
respectively.
senior
1.60
0.63
being
0.014,
none
slight
agreement.
FRES
14.8
2.24,
FKGL
18.9
11.0,
required
reading
level
college
graduate.
Conclusions:
results
our
show
that
provide
generally
high-quality
surgery.
However,
notable
flaws
identified,
including
high
comprehension
well
inability
cite
source
material
used
response.
The Design Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 27
Published: Jan. 16, 2025
It
is
important
to
recognize
that,
while
digitization
has
made
significant
advancements,
it
largely
overlooked
everyday
clothing,
which
remains
a
vital
aspect
of
our
lives.
This
gap
can
be
attributed
the
noticeable
lag
in
textile
industry
compared
microelectronics
sector.
concept
review
emphasizes
significance
creating
smart
clothing
that
features
digital
interface
and
explores
its
potential
benefits
within
metaverse.
Our
idea
focuses
on
enhancing
such
garments
implement
human
twin
concept,
we
believe,
could
enable
an
evolution
innate
abilities
realm.
To
achieve
this,
have
identified
essential
requirements
for
smooth
integration
into
metaverse
elaborated
these
needs.
Nonetheless,
despite
anticipated
benefits,
proposed
model
faces
several
challenges,
been
outlined,
including
issues
related
energy
consumption,
production
methods,
safety
standards,
sustainability
considerations.
Biomedicines,
Journal Year:
2024,
Volume and Issue:
12(11), P. 2459 - 2459
Published: Oct. 26, 2024
Artificial
intelligence
(AI)
systems
have
emerged
as
promising
tools
for
rapidly
identifying
patterns
in
large
amounts
of
healthcare
data
to
help
guide
clinical
decision
making,
well
assist
with
medical
education
and
the
planning
research
studies.
Accumulating
evidence
suggests
AI
techniques
may
be
particularly
useful
aiding
diagnosis
management
traumatic
brain
injury
(TBI)—a
considerably
heterogeneous
neurologic
condition
that
can
challenging
detect
treat.
However,
important
methodological
ethical
concerns
use
medicine
necessitate
close
monitoring
regulation
these
advancements
continue.
The
purpose
this
narrative
review
is
provide
an
overview
common
describe
recent
studies
on
possible
applications
context
TBI.
Finally,
describes
challenges
medicine,
guidelines
from
White
House,
Department
Defense
(DOD),
National
Academies
Sciences,
Engineering,
Medicine
(NASEM),
other
organizations
appropriate
uses
research.
Advanced Photonics,
Journal Year:
2024,
Volume and Issue:
6(05)
Published: Oct. 31, 2024
The
2024
Nobel
Prize
in
Physics
recognized
John
Hopfield
and
Geoffrey
Hinton
for
their
pioneering
work
on
artificial
neural
networks,
which
profoundly
impacted
the
physical
sciences,
particularly
optics
photonics.
This
perspective
summarizes
laureates'
contributions,
highlighting
physics-based
principles
inspiration
behind
development
of
modern
intelligence
(AI)
also
outlining
some
emerging
major
advances
achieved
photonics
enabled
by
AI.
One
of
the
most
studied
attributes
mental
activity
is
intelligence.
While
non-human
consciousness
remains
a
subject
profound
debate,
intelligence
universally
acknowledged
by
all
participants
discussion
as
necessary
element
any
consciousness,
regardless
its
nature.
Intelligence
can
potentially
be
measured
processing
or
computational
power
and
problem-solving
efficacy.
It
serve
starting
point
for
reconstructing
arguments
related
to
Artificial
Consciousness.
The
shared
modus
evaluation,
irrespective
origin,
offers
promising
direction
towards
more
complex
framework
assessment.
However,
this
approach's
successful
resolution
an
objective
basis
studies
unveils
inescapable
challenges.
Moreover,
when
potential
exists
in
both
biological
non-biological
domains,
future
relationship
between
humankind,
possessor
human
intelligence,
other
intelligent
entities
uncertain.
This
paper's
central
inquiry
focused
on
comparing
purely
capability
general,
universal
higher
exert
adverse
effects
less
counterparts.
Another
question
degree
importance
particular
architectural
characteristics
systems
computing
elements
structural
components.
conceivable
that
pure
faculty,
effective
utilitarian
tool.
it
may
harbour
inherent
risks
hazards
integrated
essential
component
within
frameworks,
such
autopoietic
systems.
Finally,
attempt
has
been
made
answer
concerning
interactions
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 11, 2025
This
study
examines
the
imperative
to
align
artificial
general
intelligence
(AGI)
development
with
societal,
technological,
ethical,
and
brain-inspired
pathways
ensure
its
responsible
integration
into
human
systems.
Using
PRISMA
framework
BERTopic
modeling,
it
identifies
five
key
shaping
AGI's
trajectory:
(1)
societal
integration,
addressing
broader
impacts,
public
adoption,
policy
considerations;
(2)
technological
advancement,
exploring
real-world
applications,
implementation
challenges,
scalability;
(3)
explainability,
enhancing
transparency,
trust,
interpretability
in
AGI
decision-making;
(4)
cognitive
ethical
considerations,
linking
evolving
architectures
frameworks,
accountability,
consequences;
(5)
systems,
leveraging
neural
models
improve
learning
efficiency,
adaptability,
reasoning
capabilities.
makes
a
unique
contribution
by
systematically
uncovering
underexplored
themes,
proposing
conceptual
that
connects
AI
advancements
practical
multifaceted
technical,
challenges
of
development.
The
findings
call
for
interdisciplinary
collaboration
bridge
critical
gaps
governance,
alignment
while
strategies
equitable
access,
workforce
adaptation,
sustainable
integration.
Additionally,
highlights
emerging
research
frontiers,
such
as
AGI-consciousness
interfaces
collective
offering
new
integrate
human-centered
applications.
By
synthesizing
insights
across
disciplines,
this
provides
comprehensive
roadmap
guiding
ways
balance
innovation
responsibilities,
advancing
progress
well-being.
BMC Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: April 24, 2025
Digital
medicine
and
smart
healthcare
will
not
be
realised
without
the
cognizant
participation
of
clinicians.
Artificial
intelligence
(AI)
today
primarily
involves
computers
or
machines
designed
to
simulate
aspects
human
using
mathematically
neural
networks,
although
early
AI
systems
relied
on
a
variety
non-neural
network
techniques.
With
increased
complexity
layers,
deep
machine
learning
(ML)
can
self-learn
augment
many
tasks
that
require
decision-making
basis
multiple
sources
data.
Clinicians
are
important
stakeholders
in
use
ML
tools.
The
review
questions
as
follows:
What
is
typical
process
tool
development
full
cycle?
concepts
technical
each
step?
This
synthesises
targeted
literature
reports
summarises
online
structured
materials
present
succinct
explanation
whole
tools
series
cyclical
processes:
(1)
identifying
clinical
problems
suitable
for
solutions,
(2)
forming
project
teams
collaborating
with
experts,
(3)
organising
curating
relevant
data,
(4)
establishing
robust
physical
virtual
infrastructure,
computer
systems'
architecture
support
subsequent
stages,
(5)
exploring
networks
open
access
platforms
before
making
new
decision,
(6)
validating
AI/ML
models,
(7)
registration,
(8)
deployment
continuous
performance
monitoring
(9)
improving
ecosystem
ensures
its
adaptability
evolving
needs.
A
sound
understanding
this
would
help
clinicians
appreciate
engage
codesigning,
evaluating
facilitate
broader
closer
regulation
settings.
