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

ESOI-EORTC Hands-On Workshop 2023

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

Imaging in assessing response to cancer therapy – a hands-on course

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

10/2023

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

RANZCR Brisbane 2023

10/19 to 10/21/2023 BRISBANE, AUSTRALIA

73rd Annual Scientific Meeting

Name	Purpose	Lifetime	Type	Provider
CookieConsent	Saves your consent to using cookies.	1 year	HTML	Website
fe_typo_user	Assigns your browser to a session on the server.	session	HTTP	Website

Name	Purpose	Lifetime	Type	Provider
_pk_id	Used to store a few details about the user such as the unique visitor ID.	13 months	HTML	Matomo
_pk_ref	Used to store the attribution information, the referrer initially used to visit the website.	6 months	HTML	Matomo
_pk_ses	Short lived cookie used to temporarily store data for the visit.	30 minutes	HTML	Matomo
_pk_cvar	Short lived cookie used to temporarily store data for the visit.	30 minutes	HTML	Matomo
_pk_hsr	Short lived cookie used to temporarily store data for the visit.	30 minutes	HTML	Matomo

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.