NEWS AND PRESS

Radiology is at a turning point. Cost pressures are rising, scan volumes are exploding, and the demand for uncompromising diagnostic accuracy has never been higher. How do we move forward: smarter, faster, and without sacrificing quality?

A recent study examined the role of AI-supported volumetric analysis in MRI diagnostics in identifying Alzheimer’s disease (AD) and frontotemporal dementia (FTD), showing significant improvements. By leveraging the AI-supported tool mdbrain, early diagnosis as well as patient management can be improved.

While Generative AI is creating a buzz across industries and remains in the early stages of the hype cycle, AI in radiology is no longer just a vision for the future. mediaire’s proven AI value is already happening in over 350 hospitals and clinics across Europe, where the German radiology innovator’s AI portfolio is transforming how radiologists work.

A recent study published in the European Journal of Radiology investigates the effectiveness of mediaire’s AI solution mdprostate in improving the evaluation of prostate MRI scans. The research underscores the potential to improve diagnostic accuracy, streamline workflows, and support clinicians in delivering high-quality patient care.

As a leading expert in prostate diagnostics, Prof. Anno Graser, partner at Radiologie München, evaluates the role AI plays today and in the future. In this interview, he shares which aspects are particularly beneficial for young doctors and why he is excited to be part of the ongoing development of AI.

A new study, conducted by researchers at the University Hospital of Schleswig-Holstein, demonstrates the transformative impact of AI-supported software on radiologic reporting for multiple sclerosis (MS) patients. The study, published in the European Journal of Radiology, highlights significant reductions in reporting times and enhanced efficiency in identifying cerebral lesions.

A research team at the University of Greifswald has investigated the impact of AI software on workflows in MS diagnostics. The mdbrain module "Lesion Characterization" was utilized, enabling automated characterization of white matter brain lesions. The positive effects of integrating mdbrain include increased efficiency, precise diagnostics, and optimized decision-making.

A recent study led by researchers at the University Hospital Bonn and the German Center for Neurodegenerative Diseases has unveiled a novel approach utilizing AI-based MRI volumetry to distinguish between idiopathic normal pressure hydrocephalus (iNPH) and other neurodegenerative conditions such as Alzheimer's disease (AD). Published in the journal Diagnostics, this study marks a significant advancement in the diagnostic accuracy of complex neurodegenerative diseases, showing a new pathway to improve accuracy and efficiency of brain volume measurements.

A published study in Scientific Reports (Nature) demonstrates the accuracy and reliability of the mdbrain software solution for automatic volumetry in the investigation of brain atrophies. The results highlight that the software provides valuable insights not only for classical differential diagnoses such as Alzheimer's, frontotemporal dementia, and multiple sclerosis, but also for rare neurodegenerative diseases like Huntington's disease.

The study by the University Hospital Bonn examines the impact of AI tools on the quality of findings in aneurysm detection using MRI images. For the study, the mdbrain Aneurysm Module was used for automatic detection of intracranial aneurysms in TOF sequences.