Artificial intelligence (AI) has become one of the most popular buzzwords across all industries, with applications ranging from talking chatbots to computerized systems that can automate tasks for humans. A new branch of AI is being referred to as “deep learning” due to its ability to learn complex patterns and information. This technology was first used in facial recognition software back in 2014!
Since then, deep learning has exploded in use, showing remarkable results in areas such as natural language processing, image classification, and sound manipulation. Companies are now using it to create voice-activated devices, improve healthcare services, and even replace parts of the human brain!
At this year’s Consumer Electronics Show in Las Vegas, you could find almost every major tech company showcasing their latest gadgets and technologies powered by AI. Even Microsoft announced they would be investing $5 billion in AI over the next five years!
So what exactly is deep learning, and how can we apply it to our health? In this article, we will discuss some uses for this exciting field in healthcare.
Understanding diseases
A growing field within computer science is called medical or biomedical image processing. This area focuses on using computers to diagnose, identify disease conditions of your body, and determine if you have any specific diseases. Medical images come from many sources; x-rays, scans, blood tests, and other studies are used to find signs that suggest a diagnosis.
Deep learning applies advanced algorithms to large datasets to teach the system how to recognize patterns in these data. By having the software learn as it goes, deep learning can be tuned more easily than traditional approaches. That means improved accuracy and reliability for similar tasks, and reduced time spent tuning the algorithm!
There are several applications of deep neural networks in healthcare. One major use is in understanding diseases and potential symptoms of various illnesses. For example, by looking at an MRI scan, we may be able to understand why you might feel sick. We could also look at pictures of your skin to see if there are changes that would indicate a rash or symptom of lupus.
By applying this technology to health data, doctors get better insights into what is going on with patients’ bodies. Not only does it help them make diagnoses, but it also gives appropriate treatments and recommendations.
Helpful tips for patients
Recent developments in medical imaging technology, such as CT scans and x-rays, play an important role in helping physicians diagnose disease and determine appropriate treatments. These technologies use advanced computer algorithms to analyze images of your body so that doctors can detect changes or abnormalities.
Deep learning is a type of machine learning that has recently gained popularity in healthcare applications. While there are some studies which suggest it may be able to replace human diagnostic skills in certain cases, this isn’t true yet.
At this time, deep learning is mostly used to aid in diagnosis and classification of diseases and conditions. For example, if you have symptoms similar to those of pneumonia, a doctor could tell whether you might have it by looking at pictures of people with these symptoms. A computer program would then compare your symptoms to those of past cases of pneumonia and make a prediction about whether you have it.
This article will talk more about how deep learning is being applied to health care in the future. But first, let us discuss some helpful things you can do while you’re waiting for that appointment.
