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Potential of longitudinal data from single site and multi-center clinical trials for AI-research

Prof. Dr. Hans-Christoph Becker from Stanford University, a long-standing user of mint Lesion™, shares his experience of using the software in this brief interview. He talks about the reaction he received when sharing the mint report for the first time, how patients benefit from the longitudinal overview of disease, and his plans to use the structured data for AI research.

Portrait of Professor Christina Messiou, Consultant Radiologist at The Royal Marsden NHS Foundation Trust
Professor Christina Messiou, Consultant Radiologist at The Royal Marsden NHS Foundation Trust and Professor at the Institute of Cancer Research, discusses AI-powered whole-body MRI for multiple myeloma
AI-Powered Whole-Body MRI for Multiple Myeloma: Interview with Prof. Christina Messiou
Multiple myeloma poses a unique challenge for radiologists: the disease often affects the bone marrow unevenly, and conventional biopsies can only…
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Interview with PD Dr. med. Thi Dan Linh Nguyen-Kim: Structured Reporting in Clinical Practice
In this interview, PD Dr. med. Thi Dan Linh Nguyen-Kim, Head of Department and Institute Director of Radiology and Nuclear Medicine at Stadtspital…
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Radiologist reviewing whole-body MRI images with AI-supported tumor burden quantification for bone metastases and multiple myeloma using mint Lesion.
Mint Medical has integrated an AI algorithm developed by The Institute of Cancer Research and The Royal Marsden into mint Lesion. The solution supports bone disease assessment and treatment response evaluation in advanced prostate cancer and multiple myeloma.
The ICR and The Royal Marsden work with Mint Medical to integrate AI-powered software into cancer treatment
The Institute of Cancer Research (ICR), London, and The Royal Marsden NHS Foundation Trust have announced a new licensing agreement with MedTech…
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