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Structured reports for better patient care in oncology

“mint Lesion™ enables us to make better reports because it truly provides all the necessary data for patient care.”
 
Dr. Laurent Chapuis shares how the software solution mint Lesion™ makes the multitude of initial stagings and follow up assessments for oncology patients they perform at Clinique de la Source Lausanne easier to manage. The “very good approach to tumor assessment” which mint Lesion™ offers, aids clinicians in their treatment of patients and could be integrated into their workflow without disrupting it.

mint Lesion's Research Suite: advanced imaging research platform designed to support
The mint Lesion Research Suite is an advanced imaging research platform that enables teams to efficiently design, configure, and run imaging studies.
mint Lesion Research Suite: The Flexible Imaging Research Platform Built for Scalable, Single- and Multi-Center Studies

mint Lesion's Research Suite is an advanced imaging research platform designed to support academic teams in streamlining and scaling their imaging…

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Image of doctor looking at a prostate in mint Lesion.
Prof. Dr. Thorsten Persigehl from University Hospital Cologne discusses the use of structured reporting and AI in prostate diagnostics with mint Lesion.
Structured Reporting and AI in Radiology: Efficiency and Quality in Prostate Diagnostics

How are structured reporting and artificial intelligence transforming radiology practice?

Prof. Dr. Thorsten Persigehl from University Hospital…

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Dr. Madelaine Hettler from University Medical Center Mannheim discusses the RACOON-SAGA project and how it improves sarcoma diagnostics.
The interdisciplinary research project RACOON-SAGA combines functional MRI data and clinical information to enhance the pre-therapeutic characterization of soft tissue sarcomas.
Rare Tumors, Big Goals: How RACOON-SAGA Aims to Improve Therapy Decisions

Rare tumors, major challenges: The RACOON-SAGA project explores how imaging and clinical data can improve the pre-therapeutic characterization of soft…

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