iSeg is a new AI tool developed by Northwestern Medicine scientists designed to enhance precision in tumor segmentation for radiation therapy. It matches doctors in accurately outlining lung tumors on CT scans and can identify critical areas that may be overlooked. This 3D deep learning tool segments moving tumors in real-time, addressing a vital need in treatment planning. iSeg was trained on data from hundreds of lung cancer patients and outperforms prior static image-focused AI tools, aiming to provide doctors with improved tools for personalized cancer treatment.
In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue.
Now, in a study a team of Northwestern Medicine scientists has developed an AI tool called iSeg that not only matches doctors in accurately outlining lung tumors on CT scans but can also identify areas that some doctors may miss.
Unlike earlier AI tools that focused on static images, iSeg is the first 3D deep learning tool shown to segment tumors as they move with each breath.
The goal of this technology is to give our doctors better tools.
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