Tuesday, July 1, 2025

Revolutionary AI Tool Monitors Lung Tumors in Real Time with Each Breath

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Researchers at Northwestern Medicine and the Feinberg School of Medicine have introduced iSeg, a groundbreaking AI tool designed to detect lung tumors with impressive accuracy. This 3D deep learning segmentation system tracks tumor movement during respiration, improving precision in radiotherapy—a vital aspect of cancer treatment. Traditional tumor segmentation is time-consuming and can lead to missed cancerous areas, compromising patient outcomes. iSeg addresses this challenge by outperforming manual detection; it accurately outlines tumors and identifies additional cancerous regions often missed by human experts. Currently focused on lung cancer, iSeg is being tested for potential applications in other cancers, like liver and prostate, and is being adapted for different imaging methods, including MRIs and PET scans. Dr. Troy Tao highlights the tool’s significance, especially in areas with limited medical access. Overall, iSeg represents a major advancement in oncology, paving the way for improved survival rates and tailored treatment plans through the integration of AI technology.

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