Bridging the Gap Between RECIST and Survival: Why the FDA’s Analysis of the g Value is a Game-Changer
For decades, oncology trials have relied on RECIST 1.1 to evaluate drug efficacy. However, these categorical "snapshot" evaluations do not always…
Categories: Data Collection
RACOON – Imaging, Data & Collaboration for Better Decisions
Modern radiology faces a central question: how can imaging and clinical data be combined in a way that leads to more precise diagnoses,…
mint Lesion Research Suite: The Flexible Imaging Research Platform Built for Scalable, Single- and Multi-Center Studies
mint Lesion's Research Suite is an advanced imaging research platform designed to support academic teams in streamlining and scaling their imaging…
Leave No Data Behind: Commitment to Data Excellence
At Mint Medical, we understand data as a cornerstone for improving patient care and groundbreaking research. Our mission is clear: Leave No Data…
Customizable reading templates for therapy response assessment
mint Lesion offers customizable reading templates for therapy response assessment in clinical care and research. Adapt parameters, define lesion…
Leverage Advanced AI-Driven Nodule Detection and Analysis for Comprehensive Patient Care
Discover the power of streamlined AI-driven lung screening with contextflow ADVANCE Chest CT integrated into mint Lesion. With automated lung nodule…
RACOON FADEN: Pioneering Early Detection of Adenomyosis
Adenomyosis is a gynecological condition of the uterus and a form of endometriosis. Approximately 10 percent of women of reproductive age are affected…
A Closer Look at the BZKF BORN-Project: Interview with Dr. Maurice Heimer from the Clinic and Polyclinic for Radiology at the LMU Klinikum
The Bavaria-wide Oncological Radiology Network (BORN) is now in its second funding phase and is making rapid progress.
The project was initiated in…
RACOON: A Guide to Bridging the Gap Between Simulated and Real-World Federated Learning Research
Deep learning (DL) has become an important part of radiological image analysis. To train these deep-learning models, access to large and diverse…