Anna University Annexure Journal 1 Publication

  Lung diseases like pneumonia, tuberculosis (TB), and COVID-19 significantly impact public health. They affect millions of people worldwide. Early detection of these diseases is critical for effective treatment and preventing complications. X-ray imaging has long been a go-to diagnostic tool for identifying lung problems. Now, deep learning is taking X-ray analysis to the next level. This exciting development is revolutionizing how doctors detect and diagnose lung diseases. It offers quicker, more accurate results and better patient outcomes. Let’s take a closer look at how deep learning is transforming lung disease detection through X-ray imaging. What is Deep Learning? Deep learning is a type of artificial intelligence (AI). It involves teaching computers to recognize patterns and make decisions based on large amounts of data. In medical imaging, deep learning algorithms are trained to analyze X-ray images and identify lung abnormalities. These algorithms learn from thousands, ...

Smart Retinal Technology Spotlights Diabetic Eye Damage Before Vision Fades Diabetes affects millions of people worldwide. One of its serious complications is damage to the eyes, known as diabetic retinopathy. Unfortunately, many people notice vision problems only after significant damage has occurred. This makes treatment more challenging. Advanced technology, like smart retinal imaging, is making a huge difference. In recent years, cutting-edge retinal imaging has revolutionized early detection of diabetic eye complications. It can identify issues before vision begins to fade. Let’s explore how this technology works and how it can help save your eyesight. What is Diabetic Retinopathy? Diabetic retinopathy is an eye condition caused by high blood sugar levels damaging the retina’s blood vessels. The retina is the light-sensitive tissue at the back of the eye. Over time, damaged vessels can leak fluid, causing swelling and scarring. This can blur vision and, if untreated, lead to perma...

  AI in Healthcare: Detecting Early Cancer Through Hidden Image Patterns Cancer is one of the most challenging diseases to diagnose, especially in its early stages. Often, the signs are so subtle that they go unnoticed until it’s too late. But what if we could detect these hidden patterns before they become life-threatening? Thanks to advancements in Artificial Intelligence (AI), this is no longer a distant dream—it’s becoming a reality. We’re passionate about exploring how cutting-edge technologies like AI can transform healthcare. One of the most exciting areas we’re working on is AI-driven image analysis for cancer detection. Here’s how it works and why it matters: How AI Helps Detect Cancer Early AI, particularly through machine learning, can analyze medical images—like X-rays, MRIs, or CT scans—with incredible precision. It’s trained on thousands of images, learning to spot patterns that are often invisible to the human eye. These patterns might include tiny tumors, abnormal ...