PD Dr. Wolfgang Kunz

08/2021

PD Dr. Wolfgang Kunz

The mint Analytics add-on within mint Lesion™ expands one’s structured response assessment by instantaneous visualization of the collected data, as a whole or per individual trial. An added value for radiologists, oncologists, trial centers and sponsors is dedicated trial monitoring and data analysis. mint Analytics has significant potential to accelerate the scientific use of collected imaging data.

Related Resources

Lunchsymposium 2022: "Data-driven radiology and integrated diagnostics"

05/27 to 05/27/2022 WIESBADEN, DEUTSCHLAND

Visit our lunchsymposium on "Data-driven radiology and integrated diagnostics" (German event).

German Radiology Congress 2022

05/25 to 05/27/2022 Wiesbaden, Germany

Diverse, sustainable and forward-looking program - for radiologists, medical physicists and technical radiology assistants alike.

ESTRO 2022 : Learning from every patient

05/06 to 05/10/2022 Copenhagen, Denmark

Reinforcing radiation oncology as a core partner in multidisciplinary cancer care.

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.