Categories: Data Collection

AI lung nodules detection in contextflow and Lung-RADS in mint 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 – Insights from Prof. Mechsner (Charité Berlin) and Prof. May (University Hospital Erlangen)

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…

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…

Female doctor using technological device. Background shows dots and lines to represent connected data.

Unlocking the Power of AI: The Vital Role of Structured Reporting

We all know the phrase “a picture is worth a thousand words”; yet, in specific fields, one thousand words are simply too many and can potentially…

Several juxtaposed images of different patients with different responses to the cancer treatment

Study with mint Lesion™ compares the Efficacy of SIRT and CS-PHP in Uveal Melanoma with Hepatic Metastasis

A study conducted by researchers at University Hospital Tuebingen retrospectively compared two liver-targeted therapies for uveal melanoma patients…

Study Analyzing the Tumor Growth Rate as a Prognostic Biomarker in Lymphoma Patients Under CAR T-Cell Therapy

University Hospital Munich (LMU): Study Analyzing the Tumor Growth Rate as a Prognostic Biomarker in Lymphoma Patients Under CAR T-Cell Therapy

A recent study[1] conducted by researchers at the University Hospital Munich (LMU) investigated the role of tumor growth rate (TGR) in predicting the…

A picture of radiologists looking at a screen showing the restaging of the HNSCC

Study Highlights the Potential of Radiomics in Medical Intervention

A recent study conducted by the Medical University of Innsbruck highlights the potential of radiomics in exploring the impacts of Radiochemotherapy…

Medical University of Innsbruck: Radiomic Assessment of Radiation-Induced Alterations of Skeletal Muscle Composition in Head and Neck Squamous Cell Carcinoma within the Currently Clinically Defined Optimal Time Window for Salvage Surgery

This study [1] aimed to examine tissue changes in patients with head and neck squamous cell carcinoma (HNSCC) after primary radiochemotherapy (RCT)…