{
  "patent_number": "US 12737884",
  "country": "US",
  "title": "AI Predicts Prostate Cancer Spread from Medical Scans",
  "original_title": "Systems and methods for AI-assisted analysis of primary tumor images for prediction of metastases",
  "summary": "This patent describes how artificial intelligence can analyze medical scans of a prostate tumor to automatically identify suspect regions and predict if the cancer will spread to other parts of the body.",
  "what_it_does": "This patent details systems and methods that use artificial intelligence, specifically a convolutional neural network (CNN), to analyze medical images of the prostate. The system automatically identifies 'suspect regions' or 'hotspots' within images like PET, CT, or PET/CT scans. It then uses these identified regions to predict whether localized prostate cancer has spread or will spread, a process known as metastasis. For example, a doctor could upload a patient's prostate PET/CT scan, and the AI system would highlight areas of concern and provide a prediction on the likelihood of the cancer spreading.",
  "what_it_does_not_cover": [
    "Does not cover predicting cancer spread from images of organs other than the prostate.",
    "Does not cover using different types of AI models beyond convolutional neural networks for this specific prediction.",
    "Does not cover predicting other cancer outcomes, such as tumor growth rate or response to treatment, only metastasis.",
    "Does not cover using other imaging modalities like MRI or ultrasound for this specific prediction of prostate cancer metastasis.",
    "Does not cover manual identification of suspect regions without AI assistance."
  ],
  "filed": "2024-05-17",
  "granted": "2026-09-15",
  "expires": null,
  "status": "active",
  "holder": null,
  "holder_url": null,
  "inventors": [],
  "times_cited": 0,
  "tags": [
    "biotech",
    "ai_ml",
    "software",
    "medical_devices"
  ],
  "abstract": "Presented herein are systems and methods for the use of automatically-identified suspect regions (e.g., hotspots) within the prostate as imaged in one or more medical images (e.g., PET, CT, or PET/CT image(s)) to predict metastases (e.g., to predict whether localized disease has developed or will develop into metastatic cancer) using a convolutional neural network (CNN).",
  "url": "https://patentbrief.org/patent/us/12737884/systems-and-methods-for-ai-assisted-analysis-of-primary-tumor-images-for",
  "markdown_url": "https://patentbrief.org/patent/us/12737884/systems-and-methods-for-ai-assisted-analysis-of-primary-tumor-images-for/md",
  "google_patents_url": "https://patents.google.com/patent/US12737884",
  "relatedPatents": []
}