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

The challenges of TNM-staging for head and neck tumors - Interview with Prof. Dr. Beer

06/2020

Next to clinical examination and endoscopy, cross-sectional imaging plays an important role in the diagnosis of head and neck tumors. Moreover, the…

Cincinnati Children's Hospital Medical Center: Study shows variable correlation of change in DIPG tumor size among different measurement strategies

06/2020

A recent prospective study [1] conducted by researchers at Cincinnati Children’s Hospital Medical Center compared manual 2D, semi-automated 2D, and…

Creating evidence to tackle COVID-19

04/2020

Our COVID-19 reading template is in use for two weeks, and its usage is multiplying. We are grateful for the close cooperation and feedback from…

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