Artificial intelligence

AI – When imaging thinks along

AI is changing the path of radiology services through a collection of algorithms and machine learning tools which support the medical professional. Cloud-based artificial intelligence works faster than any human radiologist, with the added capability to be in multiple places at the same time. In other words: artificial intelligence has the potential to improve medical care across the board for both patients and medical professionals. This can relieve doctors of repetitive, time-consuming tasks leaving more time for treating patients. In addition, AI brings particularly complex diagnostic processes into medical practices that were previously reserved for specialised departments.

AI – When imaging thinks along

State of the art AI solutions for image and data analysis form the basis for our development in all areas of our IT products. Through active research, we ensure that we will continue to offer cutting edge solutions today and in the future. A selection of our research projects in the field of artificial intelligence:

ASPIRE: Alzheimer’s early detection using ASL (Arterial Spin Labelling)

KI4MS: AI-assisted detection of smouldering lesions for follow-up of MS

DEEPRAY: Automatic detection of aortic aneurysms

On the trail of Alzheimer’s – ASPIRE

We are working on identifying early-stage Alzheimer’s disease on MR images. Artificial intelligence helps us to recognise and assess specific patterns in the perfusion of the brain.

High-speed upgrade for brain mapper I – KI4MS

Structural changes caused by inflammatory processes offer signs of the future course of multiple sclerosis and also provide new information for other disease patterns. The tried and tested VGM algorithm visualises these changes and creates a “map” of the brain. The evaluation determines tissue changes with 100 million degrees of freedom.

Image: KI4KMU – Example of an AI-supported VGM evaluation, which was developed as part of a project funded by the Baden-Württemberg Ministry of Economics together with the University Medical Center Mannheim and MedicalSyn GmbH in Stuttgart.

High-speed upgrade for brain mapper II – KI4MS

In the past this has been seen as a time-consuming process previously only used in academic settings. In the KI4MS project, we bring this valuable technology to the radiological practice. To do this, we use a neural network that has been specially trained for the structural changes. This artificial intelligence needs less than ten minutes to calculate a 3D map of the tissue changes.

Support for the radiologist out of the cloud – DeepRAY

An aortic aneurysm or even an aortic dissection is often discovered as an incidental finding on abdominal CT scans. In case of doubt, however, the patient must be treated as quickly as possible. We are developing an automatic, AI-supported evaluation of all abdominal CT images in the cloud, which alerts the physician on duty directly in the event of a critical finding, so that the patient can be prioritised.

« Precise, individual diagnosis of dementia, even in smaller practices and clinics without a research background, is our vision. Artificial intelligence is predestined to support physicians in this work. »

Dr. Julia Müller,
COO