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A woman with a mysterious fatigue disorder used AI with a structured four-step process—tracking symptoms, testing, analyzing data, and experimenting with interventions—to identify the cause of her episodes, achieving consistent improvement after a month. She argues that an AI-literate patient following a good diagnostic process can outperform typical primary care visits for ambiguous symptoms by providing the detailed longitudinal data and endless availability that AI models excel at analyzing, though specialist expertise remains superior.
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