Medical Education Online,
Journal Year:
2023,
Volume and Issue:
28(1)
Published: Feb. 28, 2023
Artificial
intelligence
(AI)
in
medicine
and
digital
assistance
systems
such
as
chatbots
will
play
an
increasingly
important
role
future
doctor
-
patient
communication.
To
benefit
from
the
potential
of
this
technical
innovation
ensure
optimal
care,
physicians
should
be
equipped
with
appropriate
skills.
Accordingly,
a
suitable
place
for
management
adaptation
must
found
medical
education
curriculum.
determine
existing
levels
knowledge
students
about
AI
particular
healthcare
setting,
study
surveyed
University
Luebeck
Hospital
Tuebingen.
Using
standardized
quantitative
questionnaires
qualitative
analysis
group
discussions,
attitudes
toward
were
investigated.
From
this,
relevant
requirements
integration
into
curriculum
could
identified.
The
aim
was
to
establish
basic
understanding
opportunities,
limitations,
risks,
well
areas
application
technology.
participants
(N
=
12)
able
develop
how
affect
their
daily
work.
Although
use
positive,
also
expressed
concerns.
There
high
agreement
regarding
administrative
settings
(83.3%)
research
health-related
data
(91.7%).
However,
concerns
that
protection
may
insufficiently
guaranteed
(33.3%)
they
might
monitored
at
work
(58.3%).
evaluations
indicated
want
engage
more
intensively
medicine.
In
view
developments,
competencies
taught
structured
way
during
integrated
curricular
teaching.
Journal of Medical Internet Research,
Journal Year:
2020,
Volume and Issue:
22(8), P. e17158 - e17158
Published: Aug. 7, 2020
Background
Conversational
agents,
also
known
as
chatbots,
are
computer
programs
designed
to
simulate
human
text
or
verbal
conversations.
They
increasingly
used
in
a
range
of
fields,
including
health
care.
By
enabling
better
accessibility,
personalization,
and
efficiency,
conversational
agents
have
the
potential
improve
patient
Objective
This
study
aimed
review
current
applications,
gaps,
challenges
literature
on
care
provide
recommendations
for
their
future
research,
design,
application.
Methods
We
performed
scoping
review.
A
broad
search
was
MEDLINE
(Medical
Literature
Analysis
Retrieval
System
Online;
Ovid),
EMBASE
(Excerpta
Medica
database;
PubMed,
Scopus,
Cochrane
Central
with
terms
“conversational
agents,”
AI,”
“chatbots,”
associated
synonyms.
searched
gray
using
sources
such
OCLC
(Online
Computer
Library
Center)
WorldCat
database
ResearchGate
April
2019.
Reference
lists
relevant
articles
were
checked
further
articles.
Screening
data
extraction
parallel
by
2
reviewers.
The
included
evidence
analyzed
narratively
employing
principles
thematic
analysis.
Results
yielded
47
reports
(45
ongoing
clinical
trials)
that
matched
inclusion
criteria.
identified
largely
delivered
via
smartphone
apps
(n=23)
free
only
main
input
(n=19)
output
(n=30)
modality.
Case
studies
describing
chatbot
development
(n=18)
most
prevalent,
11
randomized
controlled
trials
identified.
3
commonly
reported
agent
applications
treatment
monitoring,
service
support,
education.
Conclusions
is
descriptive
at
monitoring
support.
It
mostly
text-based,
artificial
intelligence–driven,
app–delivered
agents.
There
an
urgent
need
robust
evaluation
diverse
agents’
formats,
focusing
acceptability,
safety,
effectiveness.
Journal of Medical Internet Research,
Journal Year:
2020,
Volume and Issue:
22(11), P. e20135 - e20135
Published: Sept. 16, 2020
The
Internet
of
Things
(IoT)
is
a
system
wireless,
interrelated,
and
connected
digital
devices
that
can
collect,
send,
store
data
over
network
without
requiring
human-to-human
or
human-to-computer
interaction.
IoT
promises
many
benefits
to
streamlining
enhancing
health
care
delivery
proactively
predict
issues
diagnose,
treat,
monitor
patients
both
in
out
the
hospital.
Worldwide,
government
leaders
decision
makers
are
implementing
policies
deliver
services
using
technology
more
so
response
novel
COVID-19
pandemic.
It
now
becoming
increasingly
important
understand
how
established
emerging
technologies
support
systems
safe
effective
care.
aim
this
viewpoint
paper
provide
an
overview
current
care,
outline
improving
service
delivery,
affect
disrupt
global
next
decade.
potential
IoT-based
expanded
upon
theorize
improve
accessibility
preventative
public
transition
our
secondary
tertiary
be
proactive,
continuous,
coordinated
system.
Finally,
will
deal
with
generates,
barriers
market
adoption
from
professionals
alike,
confidence
acceptability,
privacy
security,
interoperability,
standardization
remuneration,
storage,
control
ownership.
Corresponding
enablers
rely
on
policy
support,
cybersecurity-focused
guidelines,
careful
strategic
planning,
transparent
within
organizations.
has
great
efficiency
population
health.
Journal of Personalized Medicine,
Journal Year:
2023,
Volume and Issue:
13(6), P. 951 - 951
Published: June 5, 2023
Artificial
intelligence
(AI)
applications
have
transformed
healthcare.
This
study
is
based
on
a
general
literature
review
uncovering
the
role
of
AI
in
healthcare
and
focuses
following
key
aspects:
(i)
medical
imaging
diagnostics,
(ii)
virtual
patient
care,
(iii)
research
drug
discovery,
(iv)
engagement
compliance,
(v)
rehabilitation,
(vi)
other
administrative
applications.
The
impact
observed
detecting
clinical
conditions
diagnostic
services,
controlling
outbreak
coronavirus
disease
2019
(COVID-19)
with
early
diagnosis,
providing
care
using
AI-powered
tools,
managing
electronic
health
records,
augmenting
compliance
treatment
plan,
reducing
workload
professionals
(HCPs),
discovering
new
drugs
vaccines,
spotting
prescription
errors,
extensive
data
storage
analysis,
technology-assisted
rehabilitation.
Nevertheless,
this
science
pitch
meets
several
technical,
ethical,
social
challenges,
including
privacy,
safety,
right
to
decide
try,
costs,
information
consent,
access,
efficacy,
while
integrating
into
governance
crucial
for
safety
accountability
raising
HCPs'
belief
enhancing
acceptance
boosting
significant
consequences.
Effective
prerequisite
precisely
address
regulatory,
trust
issues
advancing
implementation
AI.
Since
COVID-19
hit
global
system,
concept
has
created
revolution
healthcare,
such
an
uprising
could
be
another
step
forward
meet
future
needs.
Journal of Medical Internet Research,
Journal Year:
2020,
Volume and Issue:
22(9), P. e22845 - e22845
Published: Sept. 18, 2020
Chatbots
empowered
by
artificial
intelligence
(AI)
can
increasingly
engage
in
natural
conversations
and
build
relationships
with
users.
Applying
AI
chatbots
to
lifestyle
modification
programs
is
one
of
the
promising
areas
develop
cost-effective
feasible
behavior
interventions
promote
physical
activity
a
healthy
diet.
Journal of Hospitality Marketing & Management,
Journal Year:
2020,
Volume and Issue:
29(7), P. 757 - 786
Published: Feb. 11, 2020
This
study
undertakes
a
systematic
review
of
Artificial
Intelligence
and
its
applications
to
service
encounters
the
hospitality
industry
by
reviewing
publications
that
(1)
mainly
discuss
AI
technology,
(2)
are
in
context
services,
(3)
investigate
use
or
adoption
technology
rather
than
technical
issues
such
as
system
design,
algorithms,
voice
recognition
modules,
psychological
knowledge
representations.
Seven
major
themes
identified
via
63
publications.
The
current
frontline,
levels
artificial
intelligence,
agents,
(4)
human–AI
encounters,
(5)
theoretical
frameworks
acceptance
AI,
(6)
reasons
for
adopting
(7)
potential
challenges
AI.
also
offers
further
research
agenda
highlights
nine
critical
areas
guide
interaction
researches.
The Lancet Digital Health,
Journal Year:
2021,
Volume and Issue:
3(9), P. e599 - e611
Published: Aug. 23, 2021
Artificial
intelligence
(AI)
promises
to
change
health
care,
with
some
studies
showing
proof
of
concept
a
provider-level
performance
in
various
medical
specialties.
However,
there
are
many
barriers
implementing
AI,
including
patient
acceptance
and
understanding
AI.
Patients'
attitudes
toward
AI
not
well
understood.
We
systematically
reviewed
the
literature
on
general
public
clinical
(either
hypothetical
or
realised),
quantitative,
qualitative,
mixed
methods
original
research
articles.
searched
biomedical
computational
databases
from
Jan
1,
2000,
Sept
28,
2020,
screened
2590
articles,
23
which
met
our
inclusion
criteria.
Studies
were
heterogeneous
regarding
study
population,
design,
field
type
under
study.
Six
(26%)
assessed
currently
available
soon-to-be
tools,
whereas
17
(74%)
broadly
defined
The
quality
these
was
mixed,
frequent
issue
selection
bias.
Overall,
patients
conveyed
positive
but
had
reservations
preferred
human
supervision.
summarise
findings
six
themes:
concept,
acceptability,
relationship
humans,
development
implementation,
strengths
benefits,
weaknesses
risks.
suggest
guidance
for
future
studies,
goal
supporting
safe,
equitable,
patient-centred
implementation
International Journal of Environmental Research and Public Health,
Journal Year:
2021,
Volume and Issue:
18(11), P. 6053 - 6053
Published: June 4, 2021
Integration
of
digital
technologies
and
public
health
(or
healthcare)
helps
us
to
fight
the
Coronavirus
Disease
2019
(COVID-19)
pandemic,
which
is
biggest
crisis
humanity
has
faced
since
1918
Influenza
Pandemic.
In
order
better
understand
healthcare,
this
work
conducted
a
systematic
comprehensive
review
with
purpose
helping
combat
COVID-19
pandemic.
This
paper
covers
background
information
research
overview
summarizes
its
applications
challenges
in
finally
puts
forward
prospects
healthcare.
First,
main
concepts,
key
development
processes,
common
application
scenarios
integrating
healthcare
were
offered
part
information.
Second,
bibliometric
techniques
used
analyze
output,
geographic
distribution,
discipline
collaboration
network,
hot
topics
before
after
We
found
that
pandemic
greatly
accelerated
on
integration
Third,
cases
China,
EU
U.S
using
collected
analyzed.
Among
these
technologies,
big
data,
artificial
intelligence,
cloud
computing,
5G
are
most
effective
weapons
Applications
show
play
an
irreplaceable
role
controlling
spread
COVID-19.
By
comparing
three
regions,
we
contend
China's
success
avoiding
second
wave
integrate
large
scale
without
hesitation.
Fourth,
field
summarized.
These
mainly
come
from
four
aspects:
data
delays,
fragmentation,
privacy
security,
security
vulnerabilities.
Finally,
study
provides
future
addition,
also
provide
policy
recommendations
for
other
countries
use
technology
British Journal of Educational Technology,
Journal Year:
2023,
Volume and Issue:
55(1), P. 10 - 33
Published: May 3, 2023
Abstract
Artificial
intelligence
(AI)
chatbots
are
gaining
increasing
popularity
in
education.
Due
to
their
popularity,
many
empirical
studies
have
been
devoted
exploring
the
effects
of
AI
on
students'
learning
outcomes.
The
proliferation
experimental
has
highlighted
need
summarize
and
synthesize
inconsistent
findings
about
However,
few
reviews
focused
meta‐analysis
present
study
performed
a
24
randomized
utilizing
Stata
software
(version
14).
main
goal
current
was
meta‐analytically
examine
outcomes
moderating
educational
levels
intervention
duration.
results
indicated
that
had
large
effect
Moreover,
greater
students
higher
education,
compared
those
primary
education
secondary
In
addition,
short
interventions
were
found
stronger
than
long
interventions.
It
could
be
explained
by
argument
novelty
improve
interventions,
but
it
worn
off
Future
designers
educators
should
make
attempt
increase
equipping
with
human‐like
avatars,
gamification
elements
emotional
intelligence.
Practitioner
notes
What
is
already
known
this
topic
recent
years,
artificial
Studies
undertaken
so
far
provided
conflicting
evidence
concerning
There
remained
paucity
meta‐analyses
synthesizing
contradictory
paper
adds
This
study,
through
meta‐analysis,
synthesized
these
moderated
Implications
for
practice
and/or
policy
chatbot
better
Practitioners
teachers
draw
attention
positive
negative
students.
Considering
importance
ChatGPT,
more
research
required
develop
understanding
ChatGPT
More
needed
mechanisms
underlying
