IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: April 24, 2025
Artificial
intelligence
(AI)
is
a
field
of
computing
that
has
been
increasingly
applied
in
healthcare
services,
demonstrating
significant
potential
to
enhance
both
the
delivery
care
populations
and
management
human
resources.
This
study
based
on
literature
review
aims
evaluate
whether
use
AI
emergency
services
might
challenge
bioethical
principles
healthcare,
as
well
assess
its
improve
streamline
patient
triage.
Online
databases
grey
providing
open-access
documents
from
last
five
years
were
consulted
December
2024
January
2025.
process
resulted
total
20
documents,
which
analyzed
form
basis
this
article.
Articles
deemed
relevant
for
inclusion
if
their
abstracts
or
conclusions
demonstrated
correlation
between
identified
keywords
objectives
outlined
study.
Ophthalmology and Therapy,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 22, 2025
Effective
management
of
pediatric
myopia,
which
includes
treatments
like
corrective
lenses
and
low-dose
atropine,
requires
accurate
clinical
decisions.
However,
the
complexity
refractive
data,
such
as
variations
in
visual
acuity,
axial
length,
patient-specific
factors,
pose
challenges
to
determining
optimal
treatment.
This
study
aims
evaluate
performance
three
large
language
models
analyzing
these
data.
A
dataset
100
records,
including
parameters
acuity
was
analyzed
using
ChatGPT-3.5,
ChatGPT-4o,
Wenxin
Yiyan,
respectively.
Each
model
tasked
with
whether
intervention
needed
subsequently
recommending
a
treatment
(eyeglasses,
orthokeratology
lens,
or
atropine).
The
recommendations
were
compared
professional
optometrists'
consensus,
rated
on
1–5
Global
Quality
Score
(GQS)
scale,
evaluated
for
safety
utilizing
three-tier
accuracy
assessment.
ChatGPT-4o
outperformed
both
ChatGPT-3.5
Yiyan
needs,
an
90%,
significantly
higher
than
(p
<
0.05).
It
also
achieved
highest
GQS
4.4
±
0.55,
surpassing
other
0.001),
85%
responses
"good"
ahead
(82%)
(74%).
made
only
eight
errors
interventions,
fewer
(12)
(15).
Additionally,
it
performed
better
incomplete
abnormal
maintaining
quality
scores.
showed
safety,
making
promising
tool
decision
support
ophthalmology,
although
expert
oversight
is
still
necessary.
Intelligent Decision Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 24, 2025
Generative
AI
(GenAI)
technologies
are
examined
through
the
lens
of
issues
and
trends
related
to
decision
making.
After
examining
foundations
technology
particularly
large
language
models
(LLM),
opportunities
for
GenAI
be
used
in
decision-making
process
intelligence,
design,
choice
implementation
explored.
With
its
ability
rapidly
generate
insights,
present
optimized
solutions,
provide
detailed
analysis
given
input,
has
demonstrated
that
it
can
assist
augment
human
Although
systems
have
potential
transform
content
creation
cognition,
they
also
raise
around
accuracy,
misinformation,
ethics,
bias,
morality,
social
impacts,
privacy,
copyright,
legality,
explainability,
among
others.
Addressing
these
challenges
is
important
maximize
efficacy
PLOS Global Public Health,
Journal Year:
2025,
Volume and Issue:
5(3), P. e0004348 - e0004348
Published: March 19, 2025
Artificial
intelligence
(AI)
is
increasingly
being
used
in
the
field
of
medicine
and
healthcare.
However,
there
are
no
articles
specifically
examining
ethical
moral
dimensions
AI
use
for
evidence
synthesis.
This
article
attempts
to
fills
this
gap.
In
doing
so,
I
deploy
written
form,
what
Bengali
philosophy
culture,
Adda
(আড্ডা)
approach,
a
form
oral
exchange,
which
involves
deep
but
conversational
style
discussion.
developed
as
intellectual
resistance
against
cultural
hegemony
British
Imperialism
entails
asking
provocative
question
encourage
critical
discourse.The
raison
d'être
using
that
it
would
enhance
efficiency
conduct
synthesis,
thus
leading
greater
uptake.
whether
assuming
so
without
any
empirical
ethical.
then
examine
challenges
posed
by
lack
agency
AI;
issue
bias
discrimination
amplified
through
driven
synthesis;
epistemic
(knowledge-related)
uncertainty
on
impact
knowledge
systems
(training
future
scientists,
conformity),
need
looking
at
beyond
technical
evaluation
models.
discuss
responsibilities
government,
multi-laterals,
research
institutions
funders
regulating
having
an
oversight
role
development,
validation,
argue
industry
self-regulation
responsible
unlikely
address
concerns,
develop
legal
frameworks,
ethics
codes,
bringing
such
work
within
ambit
institutional
committees
enable
appreciation
complexities
around
mitigate
hazards,
ensure
synthesis
leads
improvement
health
individuals,
nations
societies.
Current Opinion in Urology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 19, 2025
Purpose
of
review
The
integration
artificial
intelligence
(AI)
into
healthcare
has
significantly
impacted
the
way
is
delivered,
particularly
with
generative
AI-powered
chatbots.
This
aims
to
provide
an
analysis
application,
benefits,
challenges
and
future
chatbots
in
Urology.
Recent
findings
advancements
AI
have
led
significant
improvements
chatbot
performance
applicability
healthcare.
Generative
shown
promise
patient
education,
symptom
assessment,
administrative
tasks,
clinical
decision-making
urology.
Studies
demonstrate
their
ability
reduce
clinic
burden,
improve
satisfaction,
enhance
accessibility.
However,
concerns
remain
about
accuracy,
data
privacy,
workflows.
Summary
Increasing
number
studies
urological
practice.
As
technology
advances,
likely
integrate
multiple
aspects
Concerns
will
need
be
examined
before
safe
implementation.
Current Opinion in Urology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
The
integration
of
artificial
intelligence
in
urology
presents
both
transformative
opportunities
and
ethical
dilemmas.
As
driven
tools
become
more
prevalent
diagnostics,
robotic-assisted
surgeries,
patient
monitoring,
it
is
crucial
for
urologists
to
understand
the
implications
these
technologies.
This
review
examines
key
concerns
surrounding
urology,
including
bias,
transparency,
accountability,
data
privacy.
Recent
literature
highlights
algorithmic
bias
as
a
significant
challenge,
where
models
trained
on
nondiverse
datasets
may
produce
inequitable
outcomes.
"black-box"
nature
systems
complicates
transparency
interpretability,
raising
about
clinician
trust.
Emerging
reporting
standards,
such
STREAM-URO
IDEAL
frameworks,
WHO
Guidelines
provide
structured
approaches
urology.
deployment
requires
balanced
approach
that
prioritizes
fairness,
autonomy.
Clinicians
must
advocate
explainable
intelligence,
ensure
equitable
access,
integrate
human
oversight
into
assisted
decision-making.
Future
research
should
focus
improving
dataset
diversity,
enhancing
establishing
robust
guidelines
advances
align
with
medical
ethics
patient-centered
care.
BACKGROUND
The
current
landscape
of
Emergency
Care
(EC)
is
marked
by
high
demand
leading
to
issues
such
as
Department
boarding,
overcrowding
and
subsequent
delays
that
impact
the
quality
safety
patient
care.
Integrating
data
science
into
EC
can
enhance
decision-making
with
predictive,
preventative,
personalized,
participatory
approaches.
However,
gaps
in
adherence
fairness,
accountability,
interpretability,
responsibility
are
evident,
particularly
due
barriers
data-sharing,
which
often
result
a
lack
transparency
robust
oversight
these
applications.
OBJECTIVE
Fair,
Accountable,
Interpretable
Responsible
(FAIR)-EC
collaboration
adapts
existing
FAIR
principles
address
emerging
challenges
integrates
EC.
This
initiative
aims
transform
establishing
ethical
artificial
intelligence
(AI)
standards
specifically
tailored
for
this
integration.
By
bridging
gap
between
professionals,
scientists
other
stakeholders,
promotes
international
cooperation
leverages
advanced
techniques
outcomes
across
different
care
settings.
METHODS
We
propose
federated
research
design
enables
analyses
extensive
datasets
from
various
global
institutions
without
compromising
privacy.
approach
transforms
epidemiological
techniques,
emphasizing
harmonization
comprehensive
healthcare
systems.
RESULTS
FAIR-EC
has
facilitated
collection
analysis
diverse
geographical
regions,
enabling
examination
regional
variations
practices.
Initial
projects
have
demonstrated
promising
outcomes,
including
successful
development
scoring
system
adaptation
association
studies
predictive
models
regions.
These
efforts
highlight
feasibility
leveraging
complexities
while
preserving
CONCLUSIONS
ethically
effectively
EC,
addressing
like
fragmented
data,
real-time
handoffs,
public
health
crises.
Its
harmonizes
streams
privacy,
its
emphasis
on
AI
aligns
dynamic
nature
Despite
variability
complexity,
establishes
strong
foundation
innovation
Journal of Multidisciplinary Healthcare,
Journal Year:
2025,
Volume and Issue:
Volume 18, P. 1731 - 1744
Published: March 1, 2025
Increasing
evidence
suggests
that
checklist
plays
an
important
role
in
chronic
disease.
This
study
aims
to
use
bibliometric
methods
explore
the
evolving
global
research
trends,
hotspots,
and
emerging
frontiers
of
application
disease
research,
providing
deeper
insights
into
current
landscape
guiding
future
management
development
efforts.
Bibliometrics
analysis
was
performed
utilizing
RStudio
VOSviewer
software.
atlas
analyzed
hotspots
trends.
In
total,
there
were
408
publications
authored
by
2398
authors
from
784
institutions
53
countries,
published
274
journals.
The
USA
led
publication
numbers,
international
cooperation
societal
impact.
leading
core
journal
Archives
Pathology
&
Laboratory
Medicine.
first
highly
cited
document
Psychological
Assessment
Bovin
MJ
et
al.
Chronic
management,
validity
treatment
recovery
potential
provides
a
comprehensive
uncovering
trends
while
offering
valuable
references
for
directions.
