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Objective, reproducible, and trustworthy data in clinical trials with imaging endpoints

Dr. Anthony Tolcher, medical oncologist and CEO of NEXT Oncology, spoke to us about objectivity as one of the biggest challenges in clinical trials and how a software solution for tumor assessment can improve the quality and reproducibility of data, all while saving time.

Moreover, such software solutions are a key aspect for the approval of novel drugs based on small sample size – like for example targeted or tissue agnostic medicine, as a significant advance for precision therapies. Dr. Tolcher describes how mint Lesion™ assists in generating trustworthy data, “so that [one] can ensure that the drugs that are getting approved really do work.”

Onur Özek from Mint Medical discusses the challenges, requirements, and future of lung cancer screening in Germany in an interview with RadMag.
In the latest RadMag Special Edition, Onur Özek discusses structured reporting, AI integration, second-reader workflows, interoperability, and the importance of end-to-end workflow management for lung cancer.
RadMag Special Edition: Onur Özek on the Challenges of Lung Cancer Screening in Germany
With the nationwide rollout of Germany’s lung cancer screening, radiology providers are facing new challenges. Structured reporting, mandatory second…
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Mint Medical and Coreline teams coming together to announce partnership
Mint Medical and Coreline Soft integrate AVIEW into mint Lesion to support AI-enabled workflows for structured reporting, Lung-RADS assessment, and longitudinal nodule management in lung cancer screening.
Coreline Soft and Mint Medical Announce Partnership to Advance AI-Enabled Lung Cancer Screening
Coreline Soft and Mint Medical today announced a partnership to advance AI-enabled lung cancer screening, following more than six months of technical…
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Integrated prostate cancer workflow connecting radiology, urology, and pathology through structured reporting, MRI-guided biopsy, longitudinal follow-up, and AI-supported analysis.
mint Lesion supports an end-to-end prostate cancer workflow by connecting radiology, urology, and pathology within a unified digital environment. The platform enables structured mpMRI reporting, MRI/ultrasound fusion biopsy workflows, FHIR-based interoperability, active surveillance, and AI-supported quantification of metastatic disease.
Be Central to the Insight: A Structured, Data-Driven Approach to the End-to-End Prostate Pathway
Digital Integration for Multidisciplinary Teams  In the complex journey of prostate cancer diagnostics, the data contributed by every department is…
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