AI in Healthcare: ChatGPT Helps Boy Get Diagnosis After Doctors Fail

ChatGPT accurately diagnosed a 10-year-old boy with tethered cord syndrome, while IBM’s AI system, Watson, identified an exceedingly rare form of leukaemia in a Japanese woman. In both instances, medical professionals were unable to make the correct diagnosis.

Remember when the Apple Watch made headlines for saving lives? Now, Artificial Intelligence is doing the same. A 10-year-old boy named Alex was finally diagnosed with tethered cord syndrome after seeing more than a dozen doctors who were unable to find the cause of his chronic pain. Alex’s mother, Courtney, said that she was “frustrated and desperate” when she decided to try ChatGPT, an artificial intelligence-powered (AI) chatbot developed by OpenAI.

Courtney entered a detailed description of Alex’s symptoms into ChatGPT, and the AI system suggested that Alex might have tethered cord syndrome. According to Today’s report from early September of this year, Courtney then took Alex to see a new neurosurgeon, who confirmed that ChatGPT was correct. Alex underwent surgery to fix his tethered cord, and he is now recovering well.

On another remarkable occasion, artificial intelligence showcased its diagnostic expertise, outperforming human doctors. Back in 2016, IBM’s artificial intelligence system, Watson, played the hero, rescuing a Japanese woman by accurately pinpointing her illness.

Watson carefully analyzed her genetic data and cross-referenced it against a staggering database of 20 million clinical oncology studies. The result was a revelation: an exceptionally rare form of leukaemia that had eluded human detection.

****Generative AI will Revolutionise Healthcare****

These stories are a reminder of the potential of AI to revolutionize healthcare. AI systems can be used to analyze large amounts of medical data and identify patterns that would be difficult or impossible for humans to see. This can help doctors to diagnose diseases more accurately and efficiently.

In addition to helping with diagnosis, artificial intelligence can also be used to improve healthcare in other ways. For example, AI can be used to develop new treatments for diseases, to personalize treatment plans for individual patients, and to improve the efficiency of healthcare systems.

Here are some specific examples of how artificial intelligence is being used to improve healthcare and diagnoses today:

• AI-powered diagnostic tools: AI systems are being developed to help doctors diagnose diseases more accurately and efficiently. For example, AI systems can be used to analyze medical images, such as MRI scans and X-rays, to identify abnormalities that may be indicative of a disease.

• AI-powered drug discovery: AI systems are being used to develop new drugs and treatments for diseases. One such example is Google’s two AI systems called Target and Lead Identification Suite. AI systems can be used to analyze large datasets of genetic and medical data to identify potential drug targets and to design new drugs that are more likely to be effective and less likely to have side effects.

• AI-powered personalized medicine: AI systems are being used to personalize treatment plans for individual patients. For example, AI systems can be used to analyze a patient’s genetic profile and medical history to identify the best treatment options for that patient.

• AI-powered healthcare efficiency: AI systems are being used to improve the efficiency of healthcare systems. For example, AI systems can be used to automate tasks such as scheduling appointments and managing patient records.

Artificial intelligence has the potential to revolutionize healthcare and make it more accessible and affordable for everyone. As AI systems continue to develop, we can expect to see even more innovative ways to use AI to improve healthcare and diagnoses.

In the future, AI is likely to play an even greater role in healthcare. AI systems are being developed to provide remote patient monitoring, develop new ways to deliver care and address the growing problem of healthcare disparities.

For example, AI systems could be used to develop wearable devices that can track patients’ vital signs and transmit data to doctors in real-time. This could help doctors to monitor patients who are at risk of developing complications and to intervene early if necessary.

AI systems could also be used to develop new ways to deliver care in remote and underserved communities. For example, AI could be used to develop telemedicine platforms that allow patients to see doctors remotely using video conferencing.

Artificial intelligence has the potential to make healthcare more accessible and affordable for everyone. By improving diagnosis, developing new treatments, and personalizing care, AI can help people to live longer and healthier lives.

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