Recording of RSNA 2019 AI theater presentation | Power food for AI

12/2019

Recording of RSNA 2019 AI theater presentation | Power food for AI

At this year’s RSNA, Mint Medical presented its AI approach to the audience at the AI theater. Tobias Gottmann and Aditya Jayaram highlighted how every radiological read can contribute to an AI-powered future by seeding power food for AI.

Having mint Lesion in place, structured longitudinally connected image and reporting data will be captured for different oncological reading tasks. Those data could be used to empower personalized medicine, clinical decision support systems and to train and improve machine learning based algorithms.

Please find the recording of our AI theater presentation here: https://www.youtube.com/watch?v=Jo_NJRH1KFU&feature=youtu.be

Related Resources

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…

A picture of a person looking at a brain scan and the interface of mint Lesion™ on a computer

Advancing Neuro-Oncology Assessments: Mint Medical to Integrate Newly Published RANO 2.0 Criteria into mint Lesion™

10/2023

Glioblastomas and other gliomas are the most common malignant primary brain tumor types, yet few effective therapies are available. Clinical research…

A picture of radiologists looking at a screen showing the restaging of the HNSCC

Study Highlights the Potential of Radiomics in Medical Intervention

10/2023

A recent study conducted by the Medical University of Innsbruck highlights the potential of radiomics in exploring the impacts of Radiochemotherapy…

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

The Knowledge Hub for Medical Imaging Professionals: Transforming Radiology with Structured Reporting, Data-Driven Approaches and Multicentric Research

Access breakthrough research, innovative case studies and collaborative projects advancing radiology worldwide. Dive into our activities and product updates, and learn who we are as a company and as a team.