The Use of Artificial Intelligence in Writing Scientific Review Articles
Current Osteoporosis Reports,
Journal Year:
2024,
Volume and Issue:
22(1), P. 115 - 121
Published: Jan. 16, 2024
Abstract
Purpose
of
Review
With
the
recent
explosion
in
use
artificial
intelligence
(AI)
and
specifically
ChatGPT,
we
sought
to
determine
whether
ChatGPT
could
be
used
assist
writing
credible,
peer-reviewed,
scientific
review
articles.
We
also
assess,
a
study,
advantages
limitations
using
for
this
purpose.
To
accomplish
this,
3
topics
importance
musculoskeletal
research
were
selected:
(1)
intersection
Alzheimer’s
disease
bone;
(2)
neural
regulation
fracture
healing;
(3)
COVID-19
health.
For
each
these
topics,
approaches
write
manuscript
drafts
undertaken:
human
only;
only
(AI-only);
combination
approach
#1
#2
(AI-assisted).
Articles
extensively
fact
checked
edited
ensure
quality,
resulting
final
manuscripts
that
significantly
different
from
original
drafts.
Numerous
parameters
measured
throughout
process
quantitate
disadvantages
approaches.
Recent
Findings
Overall,
AI
decreased
time
spent
article,
but
required
more
extensive
checking.
AI-only
approach,
up
70%
references
cited
found
inaccurate.
Interestingly,
AI-assisted
resulted
highest
similarity
indices
suggesting
higher
likelihood
plagiarism.
Finally,
although
technology
is
rapidly
changing,
at
4.0
had
cutoff
date
September
2021
rendering
identification
articles
impossible.
Therefore,
all
literature
published
past
was
manually
provided
#3
identical
contemporary
citations.
As
result,
health
topic,
abandoned
midstream
due
overlap
with
#3.
Summary
The
main
objective
study
see
scientifically
appropriate
manner
improve
process.
Indeed,
reduced
significant
inaccuracies.
latter
necessitates
cannot
currently
alone
careful
oversight
by
humans
Language: Английский
The Utility of AI in Writing a Scientific Review Article on the Impacts of COVID-19 on Musculoskeletal Health
Olatundun D. Awosanya,
No information about this author
Alexander Harris,
No information about this author
Amy Creecy
No information about this author
et al.
Current Osteoporosis Reports,
Journal Year:
2024,
Volume and Issue:
22(1), P. 146 - 151
Published: Jan. 13, 2024
Abstract
Purpose
of
Review
There
were
two
primary
purposes
to
our
reviews.
First,
provide
an
update
the
scientific
community
about
impacts
COVID-19
on
musculoskeletal
health.
Second,
was
determine
value
using
a
large
language
model,
ChatGPT
4.0,
in
process
writing
review
article.
To
accomplish
these
objectives,
we
originally
set
out
write
three
articles
topic
different
methods
produce
initial
drafts
articles.
The
first
article
written
traditional
manner
by
humans,
second
be
exclusively
(AI-only
or
AIO),
and
third
approach
input
outline
references
selected
humans
from
1
into
ChatGPT,
AI
assist
completing
(AI-assisted
AIA).
All
extensively
fact-checked
edited
all
co-authors
leading
final
manuscripts,
which
significantly
drafts.
Recent
Findings
Unfortunately,
during
this
process,
it
became
clear
that
2
not
feasible
for
very
recent
like
as
at
time,
4.0
had
cutoff
date
September
2021
published
after
provided
making
approaches
3
virtually
identical.
Therefore,
only
(human
AI-assisted).
Here
found
human-only
took
less
time
complete
than
AI-assisted
approach.
This
largely
due
number
hours
required
fact-check
edit
manuscript.
Of
note,
resulted
inaccurate
attributions
(about
20%)
higher
similarity
index
suggesting
increased
risk
plagiarism.
Summary
main
aim
project
whether
use
could
improve
Based
experience,
with
current
state
technology,
would
advised
solely
article,
especially
topic.
Language: Английский
Using AI to Write a Review Article Examining the Role of the Nervous System on Skeletal Homeostasis and Fracture Healing
Current Osteoporosis Reports,
Journal Year:
2024,
Volume and Issue:
22(1), P. 217 - 221
Published: Jan. 13, 2024
Three
review
articles
have
been
written
that
discuss
the
roles
of
central
and
peripheral
nervous
systems
in
fracture
healing.
While
content
among
is
overlapping,
there
a
key
difference
between
them:
use
artificial
intelligence
(AI).
In
one
paper,
first
draft
was
solely
by
humans.
second
AI
using
ChatGPT
4.0
(AI-only
or
AIO).
third
but
literature
references
were
supplied
from
human-written
paper
(AI-assisted
AIA).
This
project
done
to
evaluate
capacity
conduct
scientific
writing.
Importantly,
all
manuscripts
fact
checked
extensively
edited
co-authors
rendering
final
manuscript
drafts
significantly
different
drafts.
Language: Английский
Use of AI Language Engine ChatGPT 4.0 to Write a Scientific Review Article Examining the Intersection of Alzheimer’s Disease and Bone
Current Osteoporosis Reports,
Journal Year:
2024,
Volume and Issue:
22(1), P. 177 - 181
Published: Jan. 16, 2024
Abstract
Purpose
of
Review
This
Comment
represents
three
review
articles
on
the
relationship
between
Alzheimer’s
disease,
osteoporosis,
and
fracture
in
an
exploration
benefits
that
AI
can
provide
scientific
writing.
The
first
drafts
were
written
(1)
entirely
by
humans;
(2)
ChatGPT
4.0
(AI-only
or
AIO);
(3)
humans
whereby
selected
literature
references,
but
completed
writing
(AI-assisted
AIA).
Importantly,
each
article
was
edited
carefully
checked
for
accuracy
all
co-authors
resulting
a
final
manuscript
which
significantly
different
from
original
draft.
Recent
Findings
human-written
took
most
time
start
to
finish,
AI-only
least
time,
AI-assisted
fell
two.
When
comparing
drafts,
had
higher
percentages
text
than
human
article.
paper
percentage
incorrect
references
draft
paper.
similarity
score
other
two
when
examined
plagiarism
identification
software.
Summary
experiment
used
tracking,
editing,
comparison
software
examine
risks
using
assist
It
showed
while
may
reduce
total
hallucinations
prevalent
issues
with
this
method
editing
still
necessary
ensure
accuracy.
Language: Английский
Estrogen signalling and Alzheimer's disease: Decoding molecular mechanisms for therapeutic breakthrough
Rishabh,
No information about this author
Manni Rohilla,
No information about this author
Seema Bansal
No information about this author
et al.
European Journal of Neuroscience,
Journal Year:
2024,
Volume and Issue:
60(1), P. 3466 - 3490
Published: May 10, 2024
Abstract
In
females,
Alzheimer's
disease
(AD)
incidences
increases
as
compared
to
males
due
estrogen
deficiency
after
menopause.
Estrogen
therapy
is
the
mainstay
for
menopause
and
associated
complications.
Estrogen,
a
hormone
with
multifaceted
physiological
functions,
has
been
implicated
in
AD
pathophysiology.
plays
crucial
role
amyloid
precursor
protein
(APP)
processing
overall
neuronal
health
by
regulating
various
factors
such
brain‐derived
neurotrophic
factor
(BDNF),
intracellular
calcium
signalling,
death
domain‐associated
(Daxx)
translocation,
glutamatergic
excitotoxicity,
Voltage‐Dependent
Anion
Channel,
Insulin‐Like
Growth
Factor
1
Receptor,
estrogen‐metabolising
enzymes
apolipoprotein
E
(ApoE)
polymorphisms.
All
these
impact
physiology
of
postmenopausal
women.
replacement
therapies
play
an
important
treatment
strategy
prevent
However,
use
may
lead
increased
risks
breast
cancer,
venous
thromboembolism
cardiovascular
disease.
Various
therapeutic
approaches
have
used
mitigate
effects
on
AD.
These
include
therapy,
Selective
Receptor
Modulators
(SERMs),
Beta
(ERβ)‐Selective
Agonists,
Transdermal
Delivery,
Localised
Combination
Therapies,
Metabolism
Modulation
Alternative
Estrogenic
Compounds
like
genistein
from
soy,
notable
phytoestrogen
plant
sources.
mechanism
via
which
modulate
women
not
explained
earlier
thoroughly.
Present
review
will
enlighten
all
molecular
mechanisms
Along‐with
this,
association
between
estrogen,
ApoE
polymorphisms
also
be
discussed
Language: Английский
Deciphering molecular bridges: Unveiling the interplay between metabolic syndrome and Alzheimer’s disease through a systems biology approach and drug repurposing
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(5), P. e0304410 - e0304410
Published: May 29, 2024
The
association
between
Alzheimer’s
disease
and
metabolic
disorders
as
significant
risk
factors
is
widely
acknowledged.
However,
the
intricate
molecular
mechanism
intertwining
these
conditions
remains
elusive.
To
address
this
knowledge
gap,
we
conducted
a
thorough
investigation
using
bioinformatics
method
to
illuminate
connections
pathways
that
provide
novel
perspectives
on
disorders’
pathological
clinical
features.
Microarray
datasets
(GSE5281,
GSE122063)
from
Gene
Expression
Omnibus
(GEO)
database
facilitated
way
identify
genes
with
differential
expression
in
(141
genes).
Leveraging
CoreMine,
CTD,
Card
databases,
extracted
associated
conditions,
including
hypertension,
non-alcoholic
fatty
liver
disease,
diabetes.
Subsequent
analysis
uncovered
overlapping
implicated
revealing
shared
links.
We
utilized
String
HIPPIE
databases
visualize
genes’
protein-protein
interactions
(PPI)
constructed
PPI
network
Cytoscape
MCODE
plugin.
SPP1,
CD44,
IGF1,
FLT1
were
identified
crucial
molecules
main
cluster
of
syndrome.
Enrichment
by
DAVID
dataset
was
employed
highlighted
SPP1
target,
its
receptor
CD44
playing
role
inflammatory
cascade
disruption
insulin
signaling,
contributing
neurodegenerative
aspects
disease.
ECM-receptor
interactions,
focal
adhesion,
PI3K/Akt
may
all
mediate
effects.
Additionally,
investigated
potential
medications
repurposing
links
DGIdb
database,
Tacrolimus
Calcitonin
promising
candidates,
particularly
since
they
possess
binding
sites
molecule.
In
conclusion,
our
study
unveils
bridges
syndrome
AD,
providing
insights
into
their
pathophysiology
for
therapeutic
interventions.
Language: Английский
Impact of dietary nutrition regimens based on body composition analysis on bone metabolism in Alzheimer’s disease patients
World Journal of Psychiatry,
Journal Year:
2025,
Volume and Issue:
15(2)
Published: Jan. 14, 2025
BACKGROUND
Body
composition
analysis
(BCA)
is
primarily
used
in
the
management
of
conditions
such
as
obesity
and
endocrine
disorders.
However,
its
potential
providing
nutritional
guidance
for
patients
with
Alzheimer’s
disease
(AD)
remains
relatively
unexplored.
AIM
To
explore
clinical
efficacy
BCA-based
dietary
nutrition
scheme
on
bone
metabolism
AD
patients.
METHODS
This
retrospective
study
included
96
complicated
by
osteoporosis
who
were
admitted
to
The
Third
Hospital
Quzhou
between
January
2023
December
2024.
Based
data
from
previous
similar
studies,
randomly
assigned
either
a
routine
diet
(RD)
group
(n
=
48)
or
personalized
(PN)
48).
RD
received
conventional
guidance,
while
PN
individualized
intervention
measures
based
human
BCA.
period
lasted
12
weeks.
Bone
mineral
density
(BMD),
body
mass
index
(BMI),
muscle
mass,
content,
osteocalcin,
25-hydroxyvitamin
D,
procollagen
type
I
N-terminal
propeptide
(PINP),
beta
C-terminal
telopeptide
collagen
(β-CTX),
serum
calcium
measured
compared
two
groups
before
weeks
after
intervention.
RESULTS
No
significant
differences
observed
terms
age,
sex,
height,
BMI,
other
baseline
(P
>
0.05).
In
both
groups,
BMI
did
not
show
changes
0.05),
whereas
content
significantly
increased
<
After
intervention,
differ
that
group,
but
higher
proportion
had
T
score
-1
mini-mental
state
examination
(MMSE)
was
MMSE
than
post-intervention
pre-intervention
levels
Before
calcium,
PINP,
β-CTX,
D
different
exhibited
well
lower
PINP
higher,
β-CTX
CONCLUSION
regimen
plays
crucial
role
improving
BMD
metabolism,
effects
surpass
those
strategies.
findings
this
provide
strong
evidence
Language: Английский
The potential link between the development of Alzheimer’s disease and osteoporosis
Fariha Nasme,
No information about this author
Jyotirmaya Behera,
No information about this author
Prisha Tyagi
No information about this author
et al.
Biogerontology,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: Jan. 20, 2025
Language: Английский
Impact of dementia and mild cognitive impairment on bone health in older people
Aging Clinical and Experimental Research,
Journal Year:
2024,
Volume and Issue:
37(1)
Published: Dec. 27, 2024
Mild
cognitive
impairment,
dementia
and
osteoporosis
are
common
diseases
of
ageing
and,
with
the
increasingly
global
population,
increasing
in
prevalence.
These
conditions
closely
associated,
shared
risk
factors,
underlying
biological
mechanisms
potential
direct
causal
pathways.
In
this
review,
epidemiological
mechanistic
links
between
mild
skeletal
health
explored.
Discussion
will
focus
on
how
changes
brain
bone
signalling
can
underly
associations
these
conditions,
consider
molecular
cellular
drivers
context
inflammation
gut
microbiome.
There
is
a
complex
interplay
nutritional
changes,
which
may
precede
or
follow
onset
impairment
(MCI)
dementia,
health.
Polypharmacy
patients
MCI
there
difficult
prescribing
decisions
to
be
made
due
elevated
falls
associated
many
drugs
used
for
problems,
consequently
increase
fracture
risk.
Some
medications
prescribed
directly
impact
addition,
have
difficulty
remembering
medication
without
assistance,
meaning
that
but
not
taken.
Cognitive
improved
delayed
by
physical
activity
exercise,
evidence
additional
benefits
fractures.
Research
gaps
priorities
aim
reducing
burden
fractures
people
also
discussed.
Language: Английский
Causal relationship between reproductive factors and female bone density: a univariate and multivariate mendelian randomization study
Xiaojing Lin,
No information about this author
Yaqi Zuo,
No information about this author
Hongbo Hu
No information about this author
et al.
Frontiers in Genetics,
Journal Year:
2024,
Volume and Issue:
15
Published: Sept. 13, 2024
Observational
studies
have
found
associations
between
reproductive
factors
and
bone
density
in
women.
However,
the
causal
relationships
are
not
well
understood.
This
study
aims
to
investigate
whether
various
causally
related
at
different
skeletal
sites
using
both
univariable
multivariable
Mendelian
randomization
(MR)
methods.
Language: Английский