•A patient successfully used a 'frontier AI model' and a structured data collection process to identify potential causes for debilitating, ambiguous health symptoms.
•The AI-assisted process outperformed multiple general practitioner visits in generating relevant hypotheses and suggesting specialized tests, demonstrating increased patient agency.
•This case highlights the potential for AI to bridge gaps in traditional healthcare by providing readily available, patient models for processing detailed, longitudinal health data.
•A patient successfully used a 'frontier AI model' and a structured data collection process to identify potential causes for debilitating, ambiguous health symptoms.
•The AI-assisted process outperformed multiple general practitioner visits in generating relevant hypotheses and suggesting specialized tests, demonstrating increased patient agency.
•This case highlights the potential for AI to bridge gaps in traditional healthcare by providing readily available, patient models for processing detailed, longitudinal health data.
