ai Tag

„Anatomical GPS“ for mint Lesion™: Leveraging the Snke OS/Brainlab Anatomic Patient Model to drive anatomic-context-awareness and automation within mint Lesion™

More automation within mint Lesion™? Automated context-dependent template selection, filtering of relevant questions or even fully automated organ and lesion volume segmentation? Those features are all closer than ever.   Last March, Mint Medical was acquired by Brainlab, a leader in image-guided surgery and radiotherapy. Brainlab planning and intra-operative applications have long been powered by its Anatomic Patient Model – a multi-modal, biomechanical, …

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™…

Webcast recording: A Future Vision of Data-Driven Radiology | Integrated Diagnostics

Medical imaging contributes key diagnostic information to the evidence-based therapeutic decision process. The transformation of radiological images into a digital stream of quantitative diagnostic metadata allows for systematic data integration with other sources of diagnostic data from pathology and laboratory medicine as the basis for…

Standardized assessment and documentation of corona disease - COVID-19 - based on CT imaging

Creating evidence to tackle COVID-19

Our COVID-19 reading template is in use for two weeks, and its usage is multiplying. We are grateful for the close cooperation and feedback from existing and new mint Lesion™ users.   Our medical team went through all the available publications and created a reading…