Revolution in medicine: artificial images improve diagnoses!

Revolution in medicine: artificial images improve diagnoses!

A revolutionary development from the MedUni Vienna could fundamentally change the future of medical diagnostics! Through the innovative use of generative artificial intelligence (AI), researchers have taken a pioneering step in the creation and processing of medical image data. More than 9,000 scans from the scintigraphy outpatient clinic were used to train a AI model that is now able to create artificial image data. These synthetic data are not only anonymized, but are characterized by its high similarity to real medical image data, which significantly increases diagnostic accuracy, as was published in the journal "European Journal of Nuclear Medicine and Molecular Imaging".

How does Computer vision work?

The technology behind this innovation is computer vision, a sub -area of ​​artificial intelligence that enables computers to “see”. With the help of techniques such as Convolutional Neural Networks (CNNS), machines can process and analyze visual information. This has many practical applications, especially in medical image processing, where it helps doctors to recognize anomalies and diseases in X-ray or MRI images more efficiently. According to the experts of digital-transformation-now education.ch, computer vision revolutionizes the healthcare system by providing automated methods for image analysis and thus significantly shortening the diagnosis times.

But the relevance of these technologies goes beyond medical image processing. Computer vision is also used in areas such as security technology for monitoring and analyzing live feeds to quickly identify potential dangers. In addition, automation of image analysis enables the processing of large amounts of data, which is of immense use in today's data -driven world. These technologies are not only further researched, but also tested in many practical applications that have the potential, the way we interact with digital content.