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Algorithmic Bias Prevention

Meaning

Algorithmic bias prevention is the systematic clinical and computational practice of designing artificial intelligence and machine learning models to ensure that their predictive outputs are equitable and do not unfairly disadvantage specific demographic or biological groups. In hormonal health, this means validating algorithms used for risk stratification or personalized dosing to confirm they perform equally well across different sexes, ethnicities, or age cohorts. Unchecked bias could lead to misdiagnosis or suboptimal treatment recommendations based on skewed training data. This rigorous validation process maintains clinical objectivity and ethical integrity in digital health tools.