Oliver Moazzezi endured years of debilitating symptoms, including severe tinnitus, high blood pressure, fatigue, and muscle spasms, following a tick bite three years ago. Doctors initially attributed his issues to anxiety or hearing loss, leaving him feeling dismissed and like a hypochondriac.
Frustrated, the IT consultant turned to AI, inputting all his symptoms into a tool prompted to draw from verified medical sources. Without mentioning Lyme disease, the AI suggested it as a possibility, prompting Oliver to seek a private antibody test that confirmed the diagnosis.
Lyme disease, a bacterial infection spread by infected ticks, often mimics other conditions, making early detection challenging. Lyme symptoms, like Oliver’s rash, fatigue, and tinnitus, disrupted his gym visits, swimming, and ability to hear nature’s sounds.
Specialists echo Oliver’s frustrations with under-diagnosis in the NHS and private care. Tick-borne expert Georgia Tuckey says NHS tests miss Lyme symptom patterns, with 1,500 confirmed cases yearly in England and Wales, but 3,000-4,000 more likely go untreated.
The UK Health Security Agency acknowledges higher unconfirmed instances and ongoing data efforts to better track incidence.
AI shows promise in aiding disease diagnosis, as seen in Oliver Moazzezi’s discovery, empowering patients with insights from verified medical sources. However, experts stress that AI cannot replace doctors, urging professional consultation to ensure accurate, safe treatment.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
