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OERG Congress 2023

09/14 to 09/16/2023 SALZBURG, AUSTRIA

Congress of the Austrian Radiological Society

ESOI Touchdown 2023

09/07 to 09/09/2023 PISA, ITALY

ESOI Annual Scientific Meeting 2023

Prof. Frauenfelder and Mr. Steffen Rupp happy about extention of mint Lesion use in University Hospital Zürich

Transforming Oncology Patient Care

Innovative Approach to Structured Routine Reporting with mint Lesion at the University Hospital Zurich Heidelberg, DE, 05/09/2023 - Mint Medical…

University Hospital Jena: Research Investigating the Viability of Accelerating Whole-Body MRI in Children and Adolescents through STIR DWI with Simultaneous Multi-Slice Excitation

This study[1] addressed the challenges of conducting WB-MRI in paediatric patients, particularly the prolonged acquisition time required for…

WUSTL: Discrepant Assessments of Progressive Disease in Clinical Trials between Routine Clinical Reads and Formal RECIST 1.1 Interpretations

In this retrospective study utilizing the mint Lesion™ software[1], researchers found that routine clinical interpretations frequently resulted in the…

A doctor pushes a lying patient into the LDCT device

Early lung cancer detection through LDCT screening as a potential way to improve patient outcomes in Germany

The establishment of a nation-wide lung cancer screening program in Germany has been a subject of considerable interest and debate among healthcare…

A group of people standing together, looking up at the camera. The picture says: Together we're making an impact.

RACOON FHIR Workshop: Empowering Healthcare Research via Enhanced Interoperability

This week Brainlab hosted the RACOON FHIR Workshop with around 40 participants. The workshop was organized by Mint Medical and supported by Snke OS,…

A screenshot of a structured report from mint Lesion™

Tumor Growth Rate Modeling: A Novel Approach to Evaluating the Efficacy of Cancer Therapies

The 2020 review of Clinical Trial Evidence Supporting US Food and Drug Administrative Approval of Novel Cancer Therapies Between 2000 and 2016…

AI and Machine Learning in Cancer Imaging 3.0

06/30 to 07/01/2023 LISBON, PORTUGAL

ICIS Meeting on Enhancing healthcare through AI