Categories: Standardized Reading Procedures

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…

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Hands holding a glass lung

Comparison of iRECIST and RECIST 1.1 for Evaluating Immunotherapy in Melanoma and Non-Small Cell Lung Cancer

In a retrospective study conducted at the University Hospital Cologne, the radiological criteria iRECIST and RECIST 1.1 were compared for assessing…

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Image shows graphic related to study's research on iRECIST and RECIST

University Hospital Cologne: Comparison of iRECIST and RECIST 1.1 for Evaluating Immunotherapy in Melanoma and Non-Small Cell Lung Cancer

A retrospective study conducted at University Hospital Cologne compared two criteria for assessing therapeutic response to immunotherapy: iRECIST and…

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Doctors holding up puzzle pieces

Developing Standardized Reporting Templates for Sarcomas: Insights from Prof. Dr. Wolfgang Kunz

Sarcomas are a rare and heterogeneous group of malignant tumors that pose significant challenges in both diagnosis and treatment. Within the framework…

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The image shows Prof. Dr. Wolfgang Kunz from LMU Munich, one of the universities involved in the BORN project

Standardized Reporting Template for Sarcomas in the BZKF BORN-Project: Interview with Prof. Dr. Wolfgang Kunz of LMU Munich

Sarcomas are a rare and highly diverse group of malignant tumors that affect both soft tissue and bones, posing significant challenges due to their…

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Image of a Uterus

RACOON FADEN Project Tackles Early Detection of Adenomyosis

Endometriosis is a vastly under-researched condition affecting women, but it is finally receiving the attention it deserves through the RACOON FADEN…

RACOON Interoperability Personalized Therapy MRI Structured Reporting Clinical Research Standardized Reading Procedures AI Interview Success Story

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…

RACOON Interoperability Personalized Therapy MRI Structured Reporting Clinical Research Standardized Reading Procedures Data Collection AI Success Story mintLesion
Doctors looking at MRI scans to evaluate a glioblastoma.

Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning

This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…

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Three important sequences (FLAIR, T2, T1 with contrast agent) in the assessment of glioblastoma

University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning

This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…

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