Imagine not being able to quickly detect a stroke. It can lead to serious problems, like permanent brain damage or even death. This is where deep learning (DL) and machine learning (ML) models come in. They can help spot strokes early, making treatments more effective and reducing serious long-term
Ever wondered how AI can make physical education more effective? Well, a recent study used deep learning algorithms to help teachers understand their students' learning better. They used convolutional neural networks to find patterns in teaching images. And get this, they even created a neurocogniti
Heart health matters, especially for lung cancer patients undergoing radiation therapy. Since a big study called RTOG 0617, doctors have been paying more attention to how radiation affects the heart. But there's a problem: we don't have enough large-scale studies that accurately map the different pa
Imagine having a crystal ball to predict the best conditions for your pigs. Well, scientists have created something similar: a smart model that uses deep learning to forecast the environment in pig houses. This model combines several advanced techniques, including Bayesian optimization, squeeze and
Imagine you need to pull a wisdom tooth, but it's trapped under the jawbone and near a nerve. You could take an X-ray to see where it is, or you could get a more detailed 3D image from a CT scan. Which one is better? Scientists decided to compare these two methods using clever computer programs. The
Imagine trying to figure out the temperature inside someone's body just by feeling their skin. That's what scientists are doing with a technique called 3D thermal tomography. They're using a special kind of artificial intelligence, called a 3D convolutional neural network (CNN), to predict how hot o
Wearable devices are now common in healthcare, but their smart algorithms can be hard to understand. Think of it like a magic box – you know something happens inside, but you can't see it working. These "black box" systems use complex math to help us, but the mystery behind them can be scary. That's
Obesity is rising globally, making it tough to pinpoint causes. Scientists have turned to tools like geographic information systems (GIS) and deep learning to help understand this complex issue. One study, focusing on Missouri, used deep neural networks to analyze visual features and spatial data. T
Medical imaging plays a big role in catching diseases early. Traditional methods like MRI, CT scans, ultrasounds, and PET scans show us the insides of our bodies in 3D, but they often miss little details that could be crucial. This is where holography microscopic imaging comes in handy. It doesn't j
In the realm of cryptography, deep learning has been making waves. At a conference called CRYPTO in 2019, a researcher named Gohr showed how deep learning could be used to crack the NSA's Speck32/64 cipher. Later, a team led by Lu improved on this by targeting SIMON and SIMECK ciphers with related-k
