AI-driven clinical decision support improves treatment planning in patients with suspected sleep apnea, indicating a focus on precision medicine.
ML techniques applied to routine data allow the identification of meaningful clinical clusters in patients with suspected SA. These clusters can guide differential diagnostic testing and personalized treatment strategies. The ICDSS enables early and accurate patient classification, supporting a precision medicine approach in sleep medicine.
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Añón et al. (2025) studied this question.
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