What is deep learning?

Deep learning (DL, Deep Learning) is a new research direction in the field of machine learning (ML, Machine Learning). It is introduced into machine learning to make it closer to the original goal - artificial intelligence (AI, Artificial Intelligence).

Deep learning is the process of learning the inherent laws and representation levels of sample data. The information obtained during these learning processes is of great help in the interpretation of data such as text, images, and sounds. Its ultimate goal is to enable machines to have the same analytical learning capabilities as humans and to recognize data such as text, images, and sounds. ?

Deep learning is a complex machine learning algorithm that achieves results in speech and image recognition that far exceed those of previous related technologies. Deep learning has achieved many results in search technology, data mining, machine learning, machine translation, natural language processing, multimedia learning, voice, recommendation and personalization technology, and other related fields.

Deep learning enables machines to imitate human activities such as audio-visual and thinking, solves many complex pattern recognition problems, and makes great progress in artificial intelligence-related technologies.

Deep learning AI can scan cardiac blood flow:

In a medical and artificial intelligence (AI) study published in the British magazine "Nature Machine Intelligence" on the 13th, Swiss scientists introduced An artificial intelligence system can scan cardiovascular blood flow in seconds. This deep learning model is expected to allow clinicians to observe blood flow changes in real time while patients undergo MRI scans, thereby optimizing diagnostic workflows.

Four-dimensional (4D) MRI scans can be used to reconstruct the characteristics of cardiovascular blood flow over time, which is of great significance for the diagnosis of cardiovascular diseases. However, these scans typically take 20 minutes to process, meaning no further assessment of the imaging can be done while the scan is in progress. Accelerating these scans allows for real-time assessment while the patient is being scanned, saving clinicians time and reducing patient discomfort.

This time, Valery Vesznevski, a researcher at the Swiss Federal Institute of Technology in Zurich, and his colleagues, developed a deep learning artificial intelligence model that can analyze the heart’s movements within a few seconds. Four-dimensional reconstruction of blood flow. The research team trained a neural network using 11 scan cases and found that the network could accurately reconstruct aortic blood flow in normal patients and patients with abnormal blood flow, and the accuracy was consistent with traditional methods.

Currently, this artificial intelligence system can also reconstruct a scan in about 20 seconds, which is 30 times faster than current cutting-edge traditional methods and 4.2 times faster than previous deep learning methods.