AI-enabled tumor assessment is transforming how treatment response is evaluated in oncology clinical trials. By moving beyond manual RECIST measurements, artificial intelligence in medical imaging delivers more consistent, scalable, and sensitive evaluation of tumor response—supporting faster and smarter oncology drug development.

Through the ai.RECIST initiative led by Friends of Cancer Research, industry leaders collaborate to define a standards-based framework for AI-powered RECIST assessments. This ensures AI tumor measurement tools are validated, interpretable, and fit for regulatory decision-making.

The white paper outlines a stepwise path for responsible AI integration in oncology imaging. By leveraging existing clinical trial imaging data and harmonized methodologies, AI-driven tumor response evaluation can enhance traditional RECIST workflows and accelerate clinical research.

Full article

Quibim Website
Privacy Overview

When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mainly used to make the site work as you expect it to. The information does not directly identify you but can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to learn more and change our default settings. However, blocking some types of cookies may impact your experience of the site. You can find more information, including a detailed cookie explanation, on our Cookie Policy.