Image: Robot looks at huge amount of CT images of the brain; Copyright: panthermedia.net/phonlamai

Topic of the Month September 2019

AI in imaging: how machines manage our Big Data

In modern medicine, especially in the field of imaging, huge amounts of data are produced – so much that radiologists can hardly keep up with diagnosing the images. Artificial Intelligence could be the solution to this problem. But how exactly can it help in this task? How can man and machine work together? And what else will be possible in the future with the support of intelligent systems? Find out more in our Topic of the Month.

Man vs. machine – the benefits of AI in imaging

Image: Robot points with his finger at CT images of the brain, in the background a CT device; Copyright: panthermedia.net/phonlamai

Radiology is a field that produces large volumes of data, which can no longer be managed without the help of intelligent systems. This is especially true when it comes to the interpretation of medical images. While this takes physicians years of training and experience, several hours of work and the highest level of concentration, Artificial Intelligence only requires a few seconds to accomplish the same task.

Read the article about Artificial Intelligence in imaging here

Deep Learning Image Reconstruction – what AI looks like in clinical routine

Image: DLIR image of the aorta; Copyright: GE Healthcare

Artificial intelligence is no longer a dream of the future in medicine. Many studies and initial application examples show that it sometimes achieves better results than human physicians. At Jena University Hospital, the work with AI is already lived practice. It is the first institution in the world to use algorithms in radiological routine to reconstruct CT images.

Read the interview with Felix Güttler here

AI in radiology: reliable partner for diagnosing CT images

Image: CT image of the lungs with AI-supported automatic highlighting, quantification and measurement of anatomy and deviations; Copyright: Klinikum Nürnberg

More patients, more examinations, more CT images – in radiology there is too much work for too few physicians. CT scans are evaluated in the shortest possible time, which leads to anomalies being overlooked. Artificial intelligence, on the other hand, works with constant speed and performance, which is why radiological routine increasingly relies on its support.

Read the interview with Ivo Driesser here

Video

AI in the hospital – Possibilities and limits

A hospital generates several thousands of gigabytes of data each day. The growing flood of data is no longer manageable for doctors. The great hope: artificial intelligence. Radiology is the main beneficiary. Dr. Felix Nensa from Essen University Hospital and Dr. Peter Langkafel from the Digital Health Factory tell us more about the possibilities and limits of learning machines.