Distrust in Doctor's Diagnosis... Turns to ChatGPT for Answers and Rushes to ER
Hospital Immediately Begins Treatment After Rare Neurological Disorder Confirmed
A teenage boy in the United Kingdom has reportedly saved his own life by accurately diagnosing himself with a rare neurological disorder using the artificial intelligence chatbot ChatGPT, after a local hospital doctor misdiagnosed him. It has been reported that the hospital's medical staff later confirmed the diagnosis and began treatment.
A photo of Callan Ils, who was diagnosed with the rare disease GBS and is undergoing treatment through ChatGPT. The Sun
According to The Sun, a UK media outlet, on December 7 (local time), Kalan Ils, a 17-year-old resident of Cirencester, Gloucestershire, visited a local hospital after his cold symptoms persisted and the strength in his arms and legs rapidly weakened. Kalan complained of unusual symptoms such as his feet turning blue and difficulty moving, but the attending physician diagnosed him with Raynaud's syndrome, a type of circulatory disorder, and recommended keeping warm and wearing gloves.
However, sensing that something much more serious was happening to his body, Kalan entered his symptoms in detail into ChatGPT, which he often used for his studies. The AI suggested that he might have Guillain-Barre Syndrome (GBS).
GBS is a rare, intractable disease in which the immune system attacks the peripheral nerves, causing paralysis. If the paralysis spreads upward, it can stop the respiratory muscles from functioning, so prompt treatment is known to be essential.
Shocked by the AI's diagnosis, Kalan and his mother, Lyn Constantine, immediately went to the emergency room. After further tests, the medical staff confirmed the diagnosis of GBS and transferred Kalan to a royal hospital, where he received emergency treatment such as plasma exchange. Kalan is currently recovering and is expected to be discharged soon.
In an interview with local media, Kalan said, "My symptoms kept getting worse, and out of anxiety, I entered them into the AI, which came back with a diagnosis of GBS. When the hospital told me, 'You were right,' I could hardly believe it myself." He added, "It's crazy that I had to rely on AI to get an accurate diagnosis. While this hasn't shaken my trust in the entire NHS, it will affect my view of local GPs."
This case not only demonstrates the potential for AI to be used as an auxiliary diagnostic tool in the medical field, but also raises the need to improve and review the response system at the primary care stage.
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