Modern medicine relies a great deal on computers to help doctors diagnose and treat disease and administer care. A typical medical education, though, provides next to no knowledge about how images are processed by MRI systems or how big data is being used to expand our understanding of a variety of diseases. Academics at the Fraunhofer MEVIS Institute for Medical Image Computing and Bremen University in Germany have come together to offer a new area of study designed to get future doctors to become acquainted with different computational techniques.
The new teaching field called Medical Computing, to be now administered by the Faculty of Mathematics / Computer Science at the University of Bremen, will be putting students through the fundamentals of medical image processing that is now widely used to improve image quality and to identify sites of disease, artificial intelligence techniques that can automate complex processes, and how large quantities of data are crunched to find what’s important.
Since computers have become ubiquitous in medicine, there’s certainly something to be said for getting the doctors that use them to know how they work and how to take better advantage of computer power.