Why the study?
Integrating massively growing patient data for personalized clinical decision-making and risk assessment has become increasingly challenging, highlighting the need to examine how artificial intelligence and machine learning can assist clinicians.
Design
Review
Authors
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Personalized risk-benefit assessment may refine individual management; leaves open optimal data integration methods in practice.
Key points are not available for this paper at this time.
Lüscher et al. (2024) studied this question.