ChatgPT may have saved Trinity’s life
A British young woman turned to Chatgpt for loving advice, and sent him a photograph of his palm. He received medical advice that he was not waiting: a wart could be a cancer.
For impulse, Trinity Page DavenportUnited Kingdom 24 -year office manager, she carried a photograph of her palm in the chatgPT, and asked the artificial intelligence system to read her sin
Trinity had heard that the AI tool could do “hand“Analyzing the line of destination, heart line and more.
But even before it reached the metaphysical predictions, Chatbot decided to mark something completely unrelated but worrying. Instead of something about her love life, the young woman received a serious medical alert that may have saved her life, says the.
“Before we start reading the palm of the hand,” said the chatgpt, “I strongly recommend that See dermatologist and check this point in your palm ”.
The point, warned the chatgpt, It looked like an acral lentiginous melanoma – A rare form of skin cancer that tends to appear in the palms of the hands, on the plants or under the nails. It is not the type of place where most people are looking for signs of cancer and, for this reason, It is often detected too late.
“I expected you to talk about my love life“Trinity says in a Tiktok,” because that’s what I was most interested in finding out. “
But the answer surprised her. “It may be nothing“, The AI continued,“ but its location and appearance can resemble something called acral lentiginous melanoma… It is always better to prevent and obtain a professional assessment. ”
Trinity did not panic and took the advice seriously. “I kept very calm,” she said. “I’ve had a lot of health problems in the past and this is just one more thing I need to check.”
The young woman had first noticed her pint in 2020, shortly after her son’s birth. “I never considered it could be dangerous,” he said. Now he is waiting for a consultation at a dermatologist.
Hopefully ChatgPT was wrong – it wouldn’t be the first time. But the neoplasia has correctly identified, early detection may have saved Trinity’s life.
