Dr. Mathias Seitel

The shift towards value-based care and evidence-based medicine poses a great challenge for radiology in particular. The deliberate use of new technologies such as Artificial Intelligence is key in making this transition successful. We designed mint Lesion™ just for this purpose: a future-proof radiology workstation that combines contemporary imaging with intelligent reporting tools and thus helps radiologists assume an empowered role in the healthcare systems of tomorrow.

Related Resources

A diagram and a CT scan visualizing tumor growth rate in patients with refractory or relapsed lymphoma

Study with mint Lesion™ Uncovers the Impact of Tumor Growth Rate in Predicting the Efficacy of CAR-T-cell Therapy in Lymphoma Patients

11/2023

A recent study conducted by Dr. med. Michael Winkelmann and his colleagues at the LMU Klinikum München explored the association between TGR dynamics…

ESOI-EORTC Hands-On Workshop 2023

11/02 to 11/04/2023 MUNICH, GERMANY

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

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

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