Freiburg AI revolutionizes health care: risk of death in 1.5 minutes!

Freiburg AI revolutionizes health care: risk of death in 1.5 minutes!

A research team from the Freiburg University Hospital has developed an innovative AI model that is able to estimate the risk of death from MRI recordings. According to SWR , the primary responsible Matthias Jung and Jakob Weiß evaluated over 66,000 MRI pictures to identify patterns in aging and to determine the biological age of a person. This AI system analyzes fat and muscle distribution and finds that lower muscle mass correlates with an increased risk of death.

The test results show that the lifestyle has a significant impact on life expectancy, with about 50 percent of the influencing factors themselves. Experts estimate that a healthy lifestyle can extend life by up to 20 years. In Germany, life expectancy is relatively low compared to other industrialized nations, which particularly emphasizes the importance of such progress. The research team in Freiburg pursues the goal of using AI analysis as a tool for early detection of risk factors.

efficiency and speed of the ki

The AI ​​analyzes the MRI recordings in just 1.5 minutes, which is a significant saving compared to a four-hour analysis by a doctor. However, the AI ​​model is not yet used in everyday clinical practice. The introduction of this technology is expected to take years, but could offer support in therapy decisions in the future, such as added.

Developments in the field of AI for health care are diverse. Artificial intelligence is used in numerous applications, from the early detection of diseases to therapeutic decisions. Current trends show that AI-supported solutions in healthcare are becoming increasingly important and must be approved as part of the European Medical Device Regulation (MDR) in order to ensure their medical effectiveness and reliability, reports Fraunhofer isi .

tools such as apps to support cancer patients or systems for analyzing imaging data show the potential of AI in personalized medicine. The AIRAMED software-based software for the early detection of Alzheimer also illustrates how to deal with extremely complex diagnoses and the need to deal with limited resources efficiently.

Finally, it can be said that the integration of AI into the health sector arouses high expectations, but also contains numerous challenges, both with regard to the technology and the ethical issues that are connected with it.