„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™…

High-quality annotated data in clinical routine

The desire to standardize reporting and to get even more out of their oncological images led to the partnership of the Noordwest Ziekenhuisgroep in the Netherlands and Mint Medical.   Currently, mint Lesion™ is used in clinical routine in the hospital in Alkmaar: image assessment…

Raising Our Awareness in Pediatric Cancer

The terms rare, uncommon, infrequent are commonly used to describe the occurrence of cancer in children –  from a prevalence perspective, “only” around 400,000 children are diagnosed with cancer each year. However, for parents and children facing a cancer diagnosis, rare correlates to the isolation…

COVID-19: Evidence wins the game

Kelie Williams Luby, Vice President of Clinical Trials Software at Mint Medical, shares her insights on how organized data collection that encompasses epidemiological, clinical, and imaging data provides evidence-based medicine with the framework to do what it does best: connecting clinical expertise and experience with…