Automation makes work life easier in many ways but is it also a solution for analyzing medical images? Is a computer actually reliable enough to assist in the medical decision making process? Researchers in Landshut examine how machine learning algorithms can work more reliably and support radiologists.
In this interview with MEDICA-tradefair.com, Prof. Stefanie Remmele explains how algorithms can be used in radiology and how they learn to analyze images. She also describes the role they already play in today's medical technology sector.
Prof. Remmele, in a research project under your leadership, students of the University of Applied Sciences Landshut have recently examined how machine learning algorithms can support radiologists in their work. What was the reason behind this project?
Prof. Stefanie Remmele: The project harks back to a conversation with Prof. Andreas Lienemann, a radiologist at the Landshuter Radiologie Mühleninsel, a prominent radiology office in Landshut. He referred to various publications, which indicate that in some applications, machine learning algorithms are now able to classify images as reliably as physicians can. Radiologists could benefit from this in their daily work, for instance, if it was possible to automatically distinguish normal from abnormal findings. ...
Read the complete interview with Prof. Stefanie Remmele at MEDICA-tradefair.com!