Revolution in epilepsy surgery: more precise MRI techniques discovered!

Revolution in epilepsy surgery: more precise MRI techniques discovered!

In today's world, innovative technologies are more in demand than ever, especially in medicine. At the University of Lübeck, under the direction of Prof. Dr. Siawoosh Mohammadi, is intensively researched by new MRI methods that have the potential to fundamentally improve epilepsy surgery. Because often a neurosurgical intervention is the last hope for people who suffer from medication -resistant epilepsy. Uni Lübeck reports that…

The problems that need to be solved are often subtle, almost invisible. Conventional mrts are often not sensitive enough to recognize the smallest changes in the brain, which can lead to late diagnoses and unnecessary operations. The research team combines modern MRI technologies with artificial intelligence to calculate histological parameters from the MRI data. The aim is to localize epileptogenic brain regions safely and non-invasively before surgery. In this way, operations could be planned more specifically and the chances of success could be significantly improved.

progress through artificial intelligence

Another important step in neurological diagnostics was taken at the University Medical Center Göttingen (UMG). A new 3-Tesla magnetic resonance tomographer (MRI) was introduced there, which revolutionizes the possibilities of imaging. The director of the Institute for Diagnostic and Interventional Neuroradiology, Christian Riedel, emphasizes the advantages of this technology: it enables early detection and targeted treatment of brain diseases. [Ärzteblatt informs that…] (https://www.aerzteblatt.de/archiv/ki-gestuetzte-mrt-schneller-s- c21a5fa9-0dc4-92d5-c4b05bfd6836)

By using AI, standard examinations can be carried out in just 8 minutes, while emergency examinations are even done in 3 minutes. This means not only an enormous saving of time, but also greater efficiency in diagnostics, which benefits the patients of the clinics for clinics for neurology, neurosurgery, psychiatry and more.

diagnosis and patient care in change

The application of AI in radiology not only brings with it shorter examination times, but also revolutionizes the way in which medical images are analyzed. AI technologies recognize patterns in large image data sets that are often difficult to recognize for the human eye. Zaibr explains that ...

The analysis becomes more efficient by automated processes, which relieves radiologists and at the same time improves diagnostic accuracy. These developments not only lead to early detection of diseases, but also reduce misinterpretations and improve patient care. In the future, the integration of AI into the clinical processes could play an important role, while the medical world is offered new training opportunities to meet technical progress.

Developments at the University of Lübeck and the UMG impressively show how the combination of human knowledge and artificial intelligence in healthcare can not only improve diagnostics, but above all the life of the patients. The hope for less risks, less interventions and potentially a life without seizures is closer.