Patient Preference and Adherence,
Journal Year:
2024,
Volume and Issue:
Volume 18, P. 249 - 253
Published: Jan. 1, 2024
Objective:
Artificial
intelligence
chatbot,
particularly
ChatGPT
(Chat
Generative
Pre-trained
Transformer),
is
capable
of
analyzing
human
input
and
generating
human-like
responses,
which
shows
its
potential
application
in
healthcare.
People
with
rosacea
often
have
questions
about
alleviating
symptoms
daily
skin-care,
suitable
for
to
response.
This
study
aims
assess
the
reliability
clinical
applicability
3.5
responding
patients'
common
queries
evaluate
extent
ChatGPT's
coverage
dermatology
resources.
Methods:
Based
on
a
qualitative
analysis
literature
from
patients,
we
extracted
20
greatest
concerns,
covering
four
main
categories:
treatment,
triggers
diet,
skincare,
special
manifestations
rosacea.
Each
question
was
inputted
into
separately
three
rounds
question-and-answer
conversations.
The
generated
answers
will
be
evaluated
by
experienced
dermatologists
postgraduate
degrees
over
five
years
experience
dermatology,
their
practice.
Results:
results
indicate
that
reviewers
unanimously
agreed
achieved
high
92.22%
97.78%
Additionally,
almost
all
were
applicable
supporting
patient
education,
ranging
98.61%
100.00%.
consistency
expert
ratings
excellent
(all
significance
levels
less
than
0.05),
coefficient
0.404
content
0.456
practicality,
indicating
significant
level
agreement
among
ratings.
Conclusion:
exhibits
artificial
tool
education.
Keywords:
intelligence,
ChatGPT,
rosacea,
education
Journal of Loss and Trauma,
Journal Year:
2023,
Volume and Issue:
28(8), P. 784 - 786
Published: July 28, 2023
Click
to
increase
image
sizeClick
decrease
size
Additional
informationNotes
on
contributorsManuel
B.
GarciaManuel
Garcia
is
a
professor
of
information
technology
and
the
founding
director
Educational
Innovation
Technology
Hub
(EdITH)
at
FEU
Institute
Technology,
Manila,
Philippines.
He
graduate
Doctor
Information
from
University
East
presently
student
Philosophy
in
Education
His
interdisciplinary
research
interest
includes
topics
that,
individually
or
collectively,
cover
disciplines
education
technology.
licensed
professional
teacher
proud
member
National
Research
Council
Philippines
–
an
attached
agency
country's
Department
Science
(DOST-NRCP).
Current Medical Research and Opinion,
Journal Year:
2024,
Volume and Issue:
40(3), P. 353 - 358
Published: Jan. 24, 2024
Objective
Large
language
models
(LLMs)
such
as
ChatGPT-4
have
raised
critical
questions
regarding
their
distinguishability
from
human-generated
content.
In
this
research,
we
evaluated
the
effectiveness
of
online
detection
tools
in
identifying
vs
human-written
text.
JMIR Bioinformatics and Biotechnology,
Journal Year:
2024,
Volume and Issue:
5, P. e64406 - e64406
Published: Sept. 25, 2024
The
integration
of
chatbots
in
oncology
underscores
the
pressing
need
for
human-centered
artificial
intelligence
(AI)
that
addresses
patient
and
family
concerns
with
empathy
precision.
Human-centered
AI
emphasizes
ethical
principles,
empathy,
user-centric
approaches,
ensuring
technology
aligns
human
values
needs.
This
review
critically
examines
implications
using
large
language
models
(LLMs)
like
GPT-3
GPT-4
(OpenAI)
chatbots.
It
how
these
replicate
human-like
patterns,
impacting
design
systems.
paper
identifies
key
strategies
ethically
developing
chatbots,
focusing
on
potential
biases
arising
from
extensive
datasets
neural
networks.
Specific
datasets,
such
as
those
sourced
predominantly
Western
medical
literature
interactions,
may
introduce
by
overrepresenting
certain
demographic
groups.
Moreover,
training
methodologies
LLMs,
including
fine-tuning
processes,
can
exacerbate
biases,
leading
to
outputs
disproportionately
favor
affluent
or
populations
while
neglecting
marginalized
communities.
By
providing
examples
biased
highlights
challenges
LLMs
present
mitigation
strategies.
study
integrating
human-centric
into
mitigate
ultimately
advocating
development
are
aligned
principles
capable
serving
diverse
equitably.
JMIR Medical Education,
Journal Year:
2024,
Volume and Issue:
10, P. e51308 - e51308
Published: Jan. 11, 2024
Regular
physical
activity
is
critical
for
health
and
disease
prevention.
Yet,
care
providers
patients
face
barriers
to
implement
evidence-based
lifestyle
recommendations.
The
potential
augment
with
the
increased
availability
of
artificial
intelligence
(AI)
technologies
limitless;
however,
suitability
AI-generated
exercise
recommendations
has
yet
be
explored.
Patient Preference and Adherence,
Journal Year:
2024,
Volume and Issue:
Volume 18, P. 249 - 253
Published: Jan. 1, 2024
Objective:
Artificial
intelligence
chatbot,
particularly
ChatGPT
(Chat
Generative
Pre-trained
Transformer),
is
capable
of
analyzing
human
input
and
generating
human-like
responses,
which
shows
its
potential
application
in
healthcare.
People
with
rosacea
often
have
questions
about
alleviating
symptoms
daily
skin-care,
suitable
for
to
response.
This
study
aims
assess
the
reliability
clinical
applicability
3.5
responding
patients'
common
queries
evaluate
extent
ChatGPT's
coverage
dermatology
resources.
Methods:
Based
on
a
qualitative
analysis
literature
from
patients,
we
extracted
20
greatest
concerns,
covering
four
main
categories:
treatment,
triggers
diet,
skincare,
special
manifestations
rosacea.
Each
question
was
inputted
into
separately
three
rounds
question-and-answer
conversations.
The
generated
answers
will
be
evaluated
by
experienced
dermatologists
postgraduate
degrees
over
five
years
experience
dermatology,
their
practice.
Results:
results
indicate
that
reviewers
unanimously
agreed
achieved
high
92.22%
97.78%
Additionally,
almost
all
were
applicable
supporting
patient
education,
ranging
98.61%
100.00%.
consistency
expert
ratings
excellent
(all
significance
levels
less
than
0.05),
coefficient
0.404
content
0.456
practicality,
indicating
significant
level
agreement
among
ratings.
Conclusion:
exhibits
artificial
tool
education.
Keywords:
intelligence,
ChatGPT,
rosacea,
education
