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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.”

Radiologist creating a structured report with mint Lesion software
Structured reporting is redefining radiology by standardizing documentation, enhancing clarity, and generating data ready for clinical use and AI applications. With mint Lesion, radiologists can work efficiently while producing high-quality, interoperable data that support diagnostics, research, and patient outcomes.
Structured Reporting in Radiology: Precision, Clarity, and Data Quality

Radiology reports are often the key to a diagnosis – and the way they are created and communicated makes a crucial difference.
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Structured Reporting Improves TNM Classification Accuracy and Radiologist Satisfaction

In a collaborative, multi-center study, radiology experts developed and validated in mint Lesion a software-assisted structured reporting (SR)…

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Leverage Advanced AI-Driven Nodule Detection and Analysis for Comprehensive Patient Care

Discover the power of streamlined AI-driven lung screening with contextflow ADVANCE Chest CT integrated into mint Lesion. With automated lung nodule…

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