New Delhi. A young woman from Paris has claimed that Chatgpt had identified her blood cancer symptoms about a year in advance of doctors. This incident shows how AI tools are now playing an important role in the healthcare series.
The 27 -year -old Marli Garneryter was constantly having a problem of sweating at night and burning sensation in the skin. He thought that this was due to stress after his father’s death from colon cancer. No serious health problem was found in medical checkups done at that time and all the tests came to normal.
Catgpt’s help
Despite all the Test Normal, Mahila continued the search for the answer and during this time he decided to tell his symptoms to Chatgpt. AI Chatbot said in response that its symptoms can be signs of blood cancer. A warning that he first ignored. The woman told the People.com website that she did not take AI chatbot seriously and her friends also advised her not to seek medical advice from the machine.
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Several months later, the garnarer often felt tired and had chest pain. After consulting the doctors for the second time, a scan was performed, in which a large lump appeared in his left lung. Doctors applied them to a rare type of blood cancer named Hodgkin lymphoma, which affects white blood cells.
Now Garnariter, who is preparing for chemotherapy, says that he never thought that an AI tool would recognize something so important, before the medical system could catch it. This was shocking for him.
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Although this is rare, but if it is identified on time, then the possibility of successful treatment of Hodgkin lymphoma is quite high. According to health experts, the five -year survival rate is more than 80 percent. The common symptoms of this include fatigue, stomach discomfort, itching, night sweating and fever – many of which were experienced by the Garnener.
Although Chatgpt is not an alternative to medical advice, Garneriter’s experience adds to this growing interaction of how AI can play a role in identifying early symptoms – especially in cases where traditional diagnosis takes time.
