Ethical AI: a qualitative study exploring ethical challenges and solutions on the use of AI in medical imaging
Опубликована: Янв. 1, 2025
Язык: Английский
R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles
Insights into Imaging,
Год журнала:
2025,
Номер
16(1)
Опубликована: Фев. 17, 2025
Abstract
Objectives
Radiographers
use
advanced
medical
imaging
and
radiotherapy
(MIRT)
equipment.
They
are
also
a
digitally
mature
resilient
workforce
in
healthcare.
Artificial
intelligence
is
already
changing
their
clinical
practice
roles
data
acquisition,
post-processing,
workflow
management.
It
therefore
vital
to
understand
the
impact
of
AI
on
careers,
professional
identity
radiographers,
as
key
stakeholders
digital
transformation
healthcare
within
ecosystem.
Methods
A
European
radiographer
survey,
endorsed
by
Federation
Radiographer
Societies
(EFRS),
was
distributed
online.
piloted
with
twelve
radiographers
translated
into
eight
languages.
Although
this
study
included
both
qualitative
quantitative
results,
paper
emphasises
aspect.
Results
total
2206
have
responded
from
37
different
countries.
Despite
some
concerns
around
deskilling,
future
identity,
job
prospects,
participants
showed
overall
optimistic
views
about
This
particularly
strong
for
those
prior
education
(mean:
2.15
vs.
1.89;
p
-value:
<
0.001),
hands-on
experience
(correlation:
0.047;
0.038),
countries
higher
literacy
2.00
vs.1.93;
0.027)
academic
level
radiography
3.28
3.15;
0.002).
Men
appeared
slightly
more
enthused
development
technological
skills
women
honing
patient-centred
care
skills.
Finally,
interprofessional
collaboration
seen
essential
not
only
seamless
integration
but
supporting
patient
benefit.
Conclusion
While
implementation
advances,
needs
keep
at
pace
ensure
acceptability,
trust,
safe
technology
professionals,
minimising
role
changes
enabling
them
see
opportunities
service
transformation.
Critical
relevance
statement
aims
map
out
perceived
careers
radiographers.
Key
Points
impacting
radiographers’
identity.
increasing
awareness,
still
lacking
across
Europe.
acceptability
trust
which
facilitates
Graphical
Язык: Английский
Evaluation of a customised, AI-focused educational seminar delivered to final year undergraduate radiography students in the UK: A cross-sectional study
Radiography,
Год журнала:
2025,
Номер
31(3), С. 102926 - 102926
Опубликована: Март 29, 2025
AI
education
is
essential
to
facilitate
seamless
clinical
integration.
The
HCPC
in
the
UK
requires
all
radiographers
have
some
level
of
digital
skills
maintain
safety
practice.
This
study
aimed
evaluate
impact
a
dedicated
seminar
on
radiography
students.
A
1.5-h
in-person
was
delivered
by
an
vendor
final
year
undergraduate
diagnostic
students
at
University.
course
consisted
both
theory
and
practice
training.
An
online
survey
built
piloted,
consisting
closed
open-ended
questions,
explore
their
knowledge,
confidence
AI,
before
(pre-test)
after
delivery
(post-test)
using
10-point
scale.
Pre-test
distributed
two
weeks
post-test
open
after.
total
68
answered
pre-test
31
survey.
Students'
theoretical
knowledge
(Mean
=
6.57
vs
Mean
3.85),
5.39
3.44)
5.47
3.43)
were
significantly
improved
seminar.
Their
responses
became
more
focused
specific
In
surveys
expressed
concerns
around
reliability
accountability
data
management
security,
patient
confidentiality
overreliance
technology
questions.
They
also
requested
training
with
hands-on
options
degree.
confirms
importance
even
brief,
but
customised
educational
interventions
relating
for
radiographers.
learning
needs
be
maximise
retention
applicability
include
practical
aspects
consolidation
skills.
These
findings
will
help
educators
build
focused,
tailored
courses
future
Язык: Английский
Artificial intelligence in higher education institutions: review of innovations, opportunities and challenges
Frontiers in Education,
Год журнала:
2025,
Номер
10
Опубликована: Март 3, 2025
Artificial
intelligence
is
revolutionizing
industries
including
institutions
of
higher
learning
as
it
enhances
teaching
and
processes,
streamline
administrative
tasks
drive
innovations.
Despite
the
unprecedented
opportunities,
AI
tools
if
not
used
correctly,
can
be
challenging
in
education
institutions.
The
purpose
this
study
was
to
comprehensively
review
innovations,
opportunities
challenges
associated
with
use
Education
learning.
A
systematic
literature
methodology
adopted
locate
select
existing
studies,
analyze
synthesize
evidence
arrive
at
clear
conclusion
about
current
debate
area
study.
Following
PRISMA,
analyzed
a
total
54
documents
that
met
inclusion
exclusion
criteria
set
for
selection
documents.
unveiled
many
enhanced
research
capabilities,
automation
among
others.
Intelligence
are
found
refine
different
units
include
ethical
concerns,
integrity
issues
data
fabrication
issues.
With
notwithstanding,
benefits
cannot
over
emphasized.
remains
powerful
tool
research,
tasked,
personalized
learning,
inclusivity
accessibility
educational
content
all.
Emphasis
should
put
regulatory
frameworks
detailing
how
such
while
maintaining
level
standards
required.
Язык: Английский
Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK
Journal of medical imaging and radiation sciences,
Год журнала:
2024,
Номер
56(1), С. 101797 - 101797
Опубликована: Ноя. 22, 2024
Язык: Английский
Enhancing medical imaging education: integrating computing technologies, digital image processing and artificial intelligence
Journal of Medical Radiation Sciences,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 7, 2024
The
rapid
advancement
of
technology
has
brought
significant
changes
to
various
fields,
including
medical
imaging
(MI).
This
discussion
paper
explores
the
integration
computing
technologies
(e.g.
Python
and
MATLAB),
digital
image
processing
enhancement,
segmentation
three-dimensional
reconstruction)
artificial
intelligence
(AI)
into
undergraduate
MI
curriculum.
By
examining
current
educational
practices,
gaps
limitations
that
hinder
development
future-ready
professionals
are
identified.
A
comprehensive
curriculum
framework
is
proposed,
incorporating
essential
computational
skills,
advanced
techniques
state-of-the-art
AI
tools,
such
as
large
language
models
like
ChatGPT.
proposed
aims
improve
quality
education
significantly
better
equip
students
for
future
professional
practice
challenges
while
enhancing
diagnostic
accuracy,
improving
workflow
efficiency
preparing
evolving
demands
field.
Язык: Английский