Multi-Modal AI Plastic Surgery Diagnosis and Decision-Making System: Integration of Deep Learning and Psychological Assessment
Xiaohui Qiu,
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Shuyue Chen,
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Jiangjie Tang
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et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 7, 2025
Abstract
Purpose:
To
design
and
develop
an
AI-based
plastic
surgery
recommendation
system
using
3D
photographs
psychological
questionnaire
surveys,
aiming
to
provide
personalized
treatment
solutions
for
the
industry.
Methods:
Based
on
artificial
intelligence
technology,
this
study
utilized
patients'
results
as
training
samples
construct
a
system.
This
comprehensively
considers
factors
such
anxiety
levels,
economic
status,
expectations.
The
selected
5,543
cases
of
outpatients
aged
18
55
years,
collected
their
data,
used
these
AI
training.
software
predicted
projects
compared
them
with
doctors'
predictions
validate
system's
accuracy
patient
satisfaction.
Third-party
doctors
evaluated
safety,
ultimately
developing
efficient
accurate
Results:
downturn
in
post-COVID-19
era
significantly
impacted
health
Factors
age,
education
level,
income,
gender
had
significant
effects
state
willingness.
integrated
state,
gender,
physical
characteristics,
providing
suggestions
achieving
93.25%
satisfaction
rate.
Conclusion:
offers
innovative
solution
industry,
enhancing
satisfaction,
thereby
promoting
sustainable
development.
In
post-pandemic
era,
industry
should
focus
physical,
psychological,
achieve
services.
Language: Английский
Characteristics of Female Technical Colleges and Employment: Do Practical Intelligence and Tacit Knowledge Matter?
Abdulaziz Abdulmohsen Alfalih
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Journal of the Knowledge Economy,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 11, 2024
Language: Английский