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Recently, a user on Reddit shared a remarkable experience, claiming that the AI chatbot ChatGPT provided crucial assistance during a life-threatening situation by promptly diagnosing a rare kidney disease. The post quickly went viral, attracting significant attention and discussion among users. The user, with the username 'Ananymous717', reported feeling unusually unwell after what seemed like a simple workout. He recalled, 'About a week ago, I did a workout that I thought was low in intensity, but when I woke up...'

On the front lines of the fight against cancer, scientists at Harvard Medical School have exciting news. They have recently launched a super smart AI model called CHIEF that can accurately diagnose various types of cancer, predict patient outcomes, and even recommend treatment plans. This AI acts like an all-in-one medical assistant, providing clear guidance to doctors in the complex realm of cancer diagnosis. CHIEF is a specially trained AI system that is distinctly different from traditional AIs that can only perform single tasks.

In a study recently published in the prestigious journal Nature Communications, researchers from institutions including New York University and the University of Glasgow have successfully developed an advanced artificial intelligence program that can accurately diagnose the most common type of lung cancer—adenocarcinoma—and precisely predict the risk of recurrence, representing a significant breakthrough in the field of lung cancer diagnosis and treatment.

A Korean team used AI to accurately identify retinal images for diagnosing autistic children. The autism diagnostic tool passed tests on human subjects, allowing for earlier diagnosis which provides more help. Further research is needed to determine accuracy in younger children.

Dutch researchers have developed an algorithm called Sturgeon that can identify the type of brain tumor within 90 minutes. The algorithm relies on nanopore sequencing technology, enabling real-time reading of DNA sample base sequences. After training and testing, the algorithm was able to correctly identify 18 cases of brain tumor types in 40 minutes. By identifying the subtypes of brain tumors, surgeons can adjust their surgical strategies. Researchers hope to further validate the technology and compare it with standard methods.

A mother spent three years searching for the cause of her son's chronic headaches, but 17 doctors were unable to provide a diagnosis. Ultimately, by inputting data into ChatGPT, she received the correct diagnosis: tethered cord syndrome. This highlights the potential of artificial intelligence systems in diagnosing complex medical conditions, but also raises concerns about the risk of misinformation, necessitating further discussion and regulation.

ChatGPT assisted in diagnosing a child with Cauda Equina Syndrome after 3 years of the child's mother reporting health concerns and 17 doctors failing to provide a diagnosis. The mother input the medical history into ChatGPT, leading to the diagnosis. The child is now undergoing surgical treatment and is in the rehabilitation phase, validating ChatGPT's application in the medical field.