New AI tool accurately detects six different cancer types on whole-body PET/CT scans

Illustrative examples of the predicted tumor segmentations by the deep transfer learning approach across six cancer types. Pre-therapy and post-therapy scans are shown for breast cancer. Credit: Kevin H. Leung et al., Johns Hopkins University, Baltimore, MD. A novel AI approach can accurately detect six different types of cancer on whole-body PET/CT scans, according to research presented at the 2024 Society of Nuclear Medicine and Molecular Imaging Annual Meeting. By automatically quantifying tumor burden, the new tool can be useful for assessing patient risk, predicting treatment response, and estimating survival. Read More

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