Researchers at Brigham and Women’s Hospital have developed an AI model that analyzes prostate cancer MRIs quickly and accurately, helping doctors predict if tumors will grow or spread after treatment. Using advanced imaging algorithms, the model identifies and measures tumor size in seconds, achieving 85% accuracy in spotting aggressive cancers. The study, published in Radiology, found a direct link between larger tumor volumes and a higher risk of cancer spreading or returning.
Trained on data from over 700 patients, the AI model was as precise as human experts but much faster, providing valuable insights into tumor behavior. This can improve treatment planning and help doctors better anticipate patient outcomes.
Prostate cancer affects over 300,000 men annually in the U.S., with survival rates dropping significantly if the cancer spreads. While the study is still early, researchers are optimistic about AI’s potential to enhance cancer diagnosis and treatment in the future.
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A new AI model analyzes prostate cancer MRIs with speed and accuracy, helping predict tumor growth or spread. This advancement could improve treatment planning and patient outcomes significantly.
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