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AI vs. Radiologists: Who's Better at Diagnosing Brain Tumors?

  When it comes to brain tumors, accuracy is everything. A wrong diagnosis can lead to serious consequences. In recent years, artificial intelligence (AI) has been stepping into the spotlight, showing that it might be better than human radiologists in spotting these tricky tumors. Let’s break down how AI is changing the game in brain tumor diagnosis. What is AI in Medical Imaging? AI involves using computer systems to mimic human intelligence. In medical imaging, it works by analyzing images from CT scans and MRIs, quickly spotting patterns that might be overlooked by the human eye. You could think of AI as a super-sleuth that never gets tired or distracted. This means it can analyze thousands of images in a fraction of the time it takes a doctor. The Challenge of Diagnosing Brain Tumors Brain tumors come in many shapes and sizes. Some are very common, while others are rare. This can make diagnosis tricky. Radiologists need years of training to correctly identify these tumors. Even