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

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…

Medical University of Innsbruck: Radiomic Assessment of Radiation-Induced Alterations of Skeletal Muscle Composition in Head and Neck Squamous Cell Carcinoma within the Currently Clinically Defined Optimal Time Window for Salvage Surgery

10/2023

This study [1] aimed to examine tissue changes in patients with head and neck squamous cell carcinoma (HNSCC) after primary radiochemotherapy (RCT)…

A person looking at MRI and CT scans on a computer

Study Discovers Overdiagnosis of Progressive Cancer in Routine Clinical Evaluations

09/2023

A recent retrospective study led by Dr. Marilyn J. Siegel and her team at the Washington University School of Medicine in St. Louis has shed light on…

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.