New England Journal of Medicine,
Journal Year:
2023,
Volume and Issue:
389(13), P. 1211 - 1219
Published: Sept. 27, 2023
Challenges
at
the
interface
of
medical
statistics
and
AI
are
population
inference
vs.
prediction,
generalizability,
reproducibility
interpretation
evidence,
stability
statistical
guarantees.
Healthcare,
Journal Year:
2023,
Volume and Issue:
11(6), P. 887 - 887
Published: March 19, 2023
ChatGPT
is
an
artificial
intelligence
(AI)-based
conversational
large
language
model
(LLM).
The
potential
applications
of
LLMs
in
health
care
education,
research,
and
practice
could
be
promising
if
the
associated
valid
concerns
are
proactively
examined
addressed.
current
systematic
review
aimed
to
investigate
utility
highlight
its
limitations.
Using
PRIMSA
guidelines,
a
search
was
conducted
retrieve
English
records
PubMed/MEDLINE
Google
Scholar
(published
research
or
preprints)
that
context
practice.
A
total
60
were
eligible
for
inclusion.
Benefits
cited
51/60
(85.0%)
included:
(1)
improved
scientific
writing
enhancing
equity
versatility;
(2)
(efficient
analysis
datasets,
code
generation,
literature
reviews,
saving
time
focus
on
experimental
design,
drug
discovery
development);
(3)
benefits
(streamlining
workflow,
cost
saving,
documentation,
personalized
medicine,
literacy);
(4)
education
including
learning
critical
thinking
problem-based
learning.
Concerns
regarding
use
stated
58/60
(96.7%)
ethical,
copyright,
transparency,
legal
issues,
risk
bias,
plagiarism,
lack
originality,
inaccurate
content
with
hallucination,
limited
knowledge,
incorrect
citations,
cybersecurity
infodemics.
can
induce
paradigm
shifts
However,
embrace
this
AI
chatbot
should
extreme
caution
considering
As
it
currently
stands,
does
not
qualify
listed
as
author
articles
unless
ICMJE/COPE
guidelines
revised
amended.
An
initiative
involving
all
stakeholders
urgently
needed.
This
will
help
set
ethics
guide
responsible
among
other
academia.
Nature,
Journal Year:
2023,
Volume and Issue:
622(7981), P. 156 - 163
Published: Sept. 13, 2023
Abstract
Medical
artificial
intelligence
(AI)
offers
great
potential
for
recognizing
signs
of
health
conditions
in
retinal
images
and
expediting
the
diagnosis
eye
diseases
systemic
disorders
1
.
However,
development
AI
models
requires
substantial
annotation
are
usually
task-specific
with
limited
generalizability
to
different
clinical
applications
2
Here,
we
present
RETFound,
a
foundation
model
that
learns
generalizable
representations
from
unlabelled
provides
basis
label-efficient
adaptation
several
applications.
Specifically,
RETFound
is
trained
on
1.6
million
by
means
self-supervised
learning
then
adapted
disease
detection
tasks
explicit
labels.
We
show
consistently
outperforms
comparison
prognosis
sight-threatening
diseases,
as
well
incident
prediction
complex
such
heart
failure
myocardial
infarction
fewer
labelled
data.
solution
improve
performance
alleviate
workload
experts
enable
broad
imaging.
New England Journal of Medicine,
Journal Year:
2023,
Volume and Issue:
388(21), P. 1981 - 1990
Published: May 24, 2023
The
authors
examine
the
advantages
and
limitations
of
current
clinical
radiologic
AI
systems,
new
workflows,
potential
effect
generative
large
multimodal
foundation
models.
JNCI Cancer Spectrum,
Journal Year:
2023,
Volume and Issue:
7(2)
Published: Feb. 21, 2023
On
November
30,
2022,
OpenAI
enabled
public
access
to
ChatGPT,
a
next-generation
artificial
intelligence
with
highly
sophisticated
ability
write,
solve
coding
issues,
and
answer
questions.
This
communication
draws
attention
the
prospect
that
ChatGPT
its
successors
will
become
important
virtual
assistants
patients
health-care
providers.
In
our
assessments,
ranging
from
answering
basic
fact-based
questions
responding
complex
clinical
questions,
demonstrated
remarkable
formulate
interpretable
responses,
which
appeared
minimize
likelihood
of
alarm
compared
Google's
feature
snippet.
Arguably,
use
case
presents
an
urgent
need
for
regulators
professionals
be
involved
in
developing
standards
minimum
quality
raise
patient
awareness
current
limitations
emerging
assistants.
commentary
aims
at
tipping
point
paradigm
shift.
Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(4), P. 337 - 337
Published: March 29, 2024
As
healthcare
systems
around
the
world
face
challenges
such
as
escalating
costs,
limited
access,
and
growing
demand
for
personalized
care,
artificial
intelligence
(AI)
is
emerging
a
key
force
transformation.
This
review
motivated
by
urgent
need
to
harness
AI’s
potential
mitigate
these
issues
aims
critically
assess
integration
in
different
domains.
We
explore
how
AI
empowers
clinical
decision-making,
optimizes
hospital
operation
management,
refines
medical
image
analysis,
revolutionizes
patient
care
monitoring
through
AI-powered
wearables.
Through
several
case
studies,
we
has
transformed
specific
domains
discuss
remaining
possible
solutions.
Additionally,
will
methodologies
assessing
solutions,
ethical
of
deployment,
importance
data
privacy
bias
mitigation
responsible
technology
use.
By
presenting
critical
assessment
transformative
potential,
this
equips
researchers
with
deeper
understanding
current
future
impact
on
healthcare.
It
encourages
an
interdisciplinary
dialogue
between
researchers,
clinicians,
technologists
navigate
complexities
implementation,
fostering
development
AI-driven
solutions
that
prioritize
standards,
equity,
patient-centered
approach.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 21, 2023
Abstract
An
artificial
intelligence
(AI)-based
conversational
large
language
model
(LLM)
was
launched
in
November
2022
namely,
“ChatGPT”.
Despite
the
wide
array
of
potential
applications
LLMs
healthcare
education,
research
and
practice,
several
valid
concerns
were
raised.
The
current
systematic
review
aimed
to
investigate
possible
utility
ChatGPT
highlight
its
limitations
practice.
Using
PRIMSA
guidelines,
a
search
conducted
retrieve
English
records
PubMed/MEDLINE
Google
Scholar
under
term
Eligibility
criteria
included
published
or
preprints
any
type
that
discussed
context
A
total
280
identified,
following
full
screening,
60
eligible
for
inclusion.
Benefits/applications
cited
51/60
(85.0%)
with
most
common
being
scientific
writing
followed
by
benefits
(efficient
analysis
massive
datasets,
code
generation
rapid
concise
literature
reviews
besides
drug
discovery
development).
Benefits
practice
cost
saving,
documentation,
personalized
medicine
improved
health
literacy.
Concerns/possible
risks
use
expressed
58/60
(96.7%)
ethical
issues
including
risk
bias,
plagiarism,
copyright
issues,
transparency
legal
lack
originality,
incorrect
responses,
limited
knowledge,
inaccurate
citations.
promising
which
can
result
paradigm
shifts
embrace
this
application
should
be
done
extreme
caution.
Specific
education
include
learning
tools
shift
towards
more
focus
on
critical
thinking
problem-based
learning.
In
valuable
streamlining
workflow
refining
medicine.
Saving
time
experimental
design
enhancing
equity
versatility
are
research.
Regarding
authorship
articles,
as
it
currently
stands,
does
not
qualify
listed
an
author
unless
ICMJE/COPE
guidelines
revised
amended.
initiative
involving
all
stakeholders
involved
is
urgently
needed
set
ethics
conduct
responsible
practices
among
other
LLMs.