| Resumo: | <ul><li>Precision medicine in psychiatry uses big data to personalize diagnosis, prognosis, and treatment, moving away from one-size-fits-all strategies.</li>
<li>Clinical prediction models offer individual-level risk estimates for adverse mental health outcomes, aiding evidence-based decision-making.</li>
<li>Traditional risk assessment tools are being replaced by novel tools like OxMIV, which provide probability scores for better clinical assessments.</li>
<li>Integrating these tools into practice enhances patient care, safety, and well-being through personalized, data-driven decisions.</li></ul>
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