News

Fighting prostate cancer with AI and automatic segmentation

Advances in technology, especially in the field of AI, can significantly relieve the ever-increasing workload of radiologists today. We are continuously striving to make the most out of the countless possibilities AI offers. Therefore, we are about to incorporate multiple AI elements into mint Lesion™ with various partners and an example of this is an upcoming plug-in, with which it will be possible to automatically detect and 3D-segment the prostate in MR T2-weighted images.
 
The new plug-in, Prostate.Carcinoma.ai from our partner FUSE-AI, will simplify and speed up prostate screenings according to PI-RADS 2.1. At the touch of a button, a full segmentation of the prostate will be calculated within mint Lesion™, including findings of benign or malignant lesions. By using the automatically calculated volume segmentation of the prostate, mint Lesion™ automatically maps the lesions to the prostate lesion scheme, making manual drawings unnecessary.
 
In the early development phase, the plug-in was made available to Dr. Alexander Cornelius and his team at the Cantonal Hospital Aarau to test and provide user feedback. Dr. Cornelius states: “AI in radiology is the logical consequence of the ongoing developments in recent years to reach a new level of medical and clinical care. For me, even the first results from the Prostate.Carcinoma.ai plug-in in mint Lesion™ were a substantial improvement!“

Related Resources

Related Resources

Potential of longitudinal data from single site and multi-center clinical trials for AI-research

Prof. Dr. Hans-Christoph Becker from Stanford University, a long-standing user of mint Lesion™, shares his experience of using the software in this…

How mint Lesion 3.5 helps you to benefit from Artificial Intelligence in Radiology

According to researchers, every adult makes 35,000 decisions each day. While there are no numbers in literature about how many decisions a radiologist…

Mint Medical announces mint Lesion 3.5

Structured Reporting in Radiology can set a new bar in quality, completeness, and visual appeal of radiological reports. With structured reporting,…