Personalized Medicine
Published: Jan. 1, 2025
How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review
Amy Bucher,
No information about this author
E. Susanne Blazek,
No information about this author
Christopher T. Symons
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et al.
Mayo Clinic Proceedings Digital Health,
Journal Year:
2024,
Volume and Issue:
2(3), P. 375 - 404
Published: May 22, 2024
Language: Английский
A systematic review of the literature on deep learning approaches for cross-domain recommender systems
Decision Analytics Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100518 - 100518
Published: Sept. 1, 2024
Language: Английский
A collaborative filtering recommender systems: Survey
Neurocomputing,
Journal Year:
2024,
Volume and Issue:
unknown, P. 128718 - 128718
Published: Nov. 1, 2024
Language: Английский
Substantial growth of Health Sciences Review
Burcin Ekser
No information about this author
Health Sciences Review,
Journal Year:
2024,
Volume and Issue:
11, P. 100182 - 100182
Published: June 1, 2024
Language: Английский
Hybrid Recommendation Algorithm Based on K-Means++ and Dynamic Time Weights
Yecheng Lao,
No information about this author
Kaixuan Lin
No information about this author
2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE),
Journal Year:
2024,
Volume and Issue:
35, P. 867 - 871
Published: May 10, 2024
Language: Английский
Revolutionizing Patient Care
Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 169 - 194
Published: Dec. 27, 2024
The
use
of
artificial
intelligence
(AI)
in
healthcare
is
transforming
the
landscape
personalized
medicine,
providing
new
prospects
to
improve
patient
care
and
medical
outcomes.
This
article
explores
examine
into
transformational
potential
AI
healthcare,
focusing
on
its
present
uses,
advantages,
obstacles,
future
possibilities.
Artificial
Intelligence
has
capacity
quickly
correctly
analyze
large
volumes
data
resulted
substantial
advances
diagnostic
tools,
illness
prediction,
therapy
suggestions.
AI-powered
imaging
technology
predictive
analytics,
particular,
are
boosting
accuracy
enabling
diagnosis
early
on,
allowing
for
prompt
targeted
therapies.
greatly
advancing
which
adapts
modify
treatment
approaches
individual
genetic
profiles
distinct
health
situations.
AI-driven
genomics
analysis
speeding
up
discovery
disease
indicators
creation
tailored
medications.
Language: Английский