Revolution in medicine: Artificial intelligence improves image diagnosis!

Revolution in medicine: Artificial intelligence improves image diagnosis!

fascinating progress in medical imaging: A team of researchers: Inside the MedUni Vienna has developed a groundbreaking generative artificial intelligence (AI), which enables synthetic medical data. This innovative technology uses anonymized image data sets to create highly accurate diagnostic systems for various diseases. According to a report by OTS Imaging ”published and significantly improved the diagnostic accuracy through the use of artificial image data.

The revolution in diagnostics

The challenge in medical image processing often lies in the limited availability of high-quality clinical data sets that are necessary for the training of AI models. Many of these data records are difficult to access due to rare diseases or strict data protection regulations. The new generative AI of the MedUni Vienna has analyzed over 9,000 clinical scans and developed a synthetic data set from it, which imitates the characteristics of real image data, but was completely re -generated. This means that no sensitive patients have been used: inner information, which is significant progress for data protection.

The quality of the pictures generated was verified by independent doctors: verified inside and showed no difference to real pictures. In particular, an AI system for diagnosing heart disease that was trained with these artificial data was able to improve its results in a comprehensive validation study with data from over 6,000 patients: inside from various institutions in Europe and Asia. "This technology not only revolutionizes data availability, but also the security for patients: inside," summarize the researchers David Haberl and Clemens Spielvogel.

In addition to health research, the city of Vienna has taken measures to make its grants transparent. An annual funding report documents the paid grants and is accessible online, which supports the traceability of public funds, the . This step is in accordance with the efforts of data security and the responsible use of financial resources in the city administration.