Artificial intelligence supports medical prognoses

Using COVID-19 as an example, a machine learning method predicts patients' individual mortality risk

Estimating the risk of patients dying is arguably one of the most difficult and stressful challenges physicians face. This has been especially true in the midst of the global COVID-19 pandemic, with doctors around the world repeatedly confronted with difficult decisions. In the best of cases, they have been able to adjust treatments and save lives. In the worst case scenario, however, physicians have to allocate scarce beds and life-saving machines in intensive care units. An international team led by researchers at the Max Planck Institute for Intelligent System has now developed an algorithm and trained it with machine learning methods to help medical professionals with mortality predictions. The algorithm can also be trained to predict mortality risk for other diseases, and thus support physicians in decision-making processes.

Related Articles

Thumb ticker md cyber valley rebecca reisch web

Rebecca C. Reisch new Cyber Valley Managing Director

Science Minister Bauer: “Cyber Valley GmbH a central hub in the network”
Arrow left
Thumb ticker md microrobots

Microrobots display versatile movement patterns

System capable of quick transitions between behaviors
Arrow left
Thumb ticker md 20220404 dsf8462 x

Welcome, Julia Merlot!

Science journalist is new journalist-in-residence
Arrow left