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

Dive into our activities, projects, and product updates. Catch on the latest industry news and learn who we are as a company and as a team.

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.

Related Resources

Related Resources

Medical personnel looking at a technical device to discuss diagnostic guidelines

2,237 Patients, 11 Hospitals, four HCC Criteria: A Comparison Study

A recent study, conducted across 11 South Korean hospitals, compared the diagnostic performance of four hepatocellular carcinoma (HCC) diagnostic…

mint Lesion screenshot with HCC diagnosis according to APASL, AASLD, LI-RADS, KLCA-NCC, and EASL guidelines

Multicentric Study: Comparison of Diagnostic Guidelines for Hepatocellular Carcinoma

Recent advancements in MRI techniques and tumor biology have led to updated hepatocellular carcinoma (HCC) diagnostic guidelines from various liver…

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…