Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches

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Data Analytics and Instant-Trial Research

Context-driven read procedures in mint Lesion™ facilitate the generation of well-structured data on a large scale. At RSNA 2016, Mint Medical presents a web-based interface to visualize and analyze all acquired data from patients and patient cohorts, as well as usage statistics allowing the monitoring of clinical research and clinical routine work.

On a patient cohort or trial level for instance, a visualization of patient responses can be given as a real-time breakdown. Flexibly customizable queries and filtering capabilities uncover extraordinary cases within cohorts or can be used to identify patients with similar disease status and/ or traits.

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Related Resources

Radiologist using for medical image analysis

Advancing Real-World Federated Learning in Radiology

Federated Learning (FL) enables collaborative model training without data centralization – a crucial aspect for radiological image analysis where…

Schematic visualization of the federated learning study and its data infrastructure

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…

Alt text (EN) This picture shows several doctors looking at a medical image within the program mint Lesion™

On-Site BZKF BORN Roll-Out Trainings Keep on Going

Our expert Steffen Rupp recently visited the Technical University of Munich to continue the on-site BZKF BORN Roll-Out Trainings. As mentioned…