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Rather than evaluating isolated laboratory values, AI systems may integrate multiple sources of patient-generated information, including: Continuous glucose monitoring Blood pressure readings Heart rate variability Wearable activity data Sleep metrics Home laboratory results Medication adherence Patient-reported symptoms These systems have the potential to identify subtle clinical deterioration before patients recognize symptoms themselves