I solved my mystery fatigue with AI

6 hours ago

The author used AI and a structured four-step process to solve their mystery fatigue after conventional medical approaches were insufficient.
Key steps included tracking symptoms and lifestyle factors, testing with blood work and specialized tests, analyzing data with AI models, and experimenting with lifestyle and medical interventions.
AI models helped identify patterns and hypotheses, such as low ferritin and under-eating, which guided targeted experiments like iron supplements and increased calorie intake.
The author emphasizes that AI-literate patients with a good process can outperform most primary care physician visits for ambiguous, multi-system symptoms.
Important tips for using AI in health include using reasoning models, providing extensive context, being specific with data, and critically evaluating model outputs.
Tracking longitudinal data establishes a baseline and helps measure intervention effectiveness, while testing provides objective diagnostic information.
The process is iterative and empowers individuals to take charge of their health, especially when dealing with persistent, unexplained symptoms.

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