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Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
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Artificial Intelligence and Pathomics: Prostate Cancer.

Puria Azadi Moghadam1, Ali Bashashati2, S Larry Goldenberg3

  • 1Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada.

The Urologic Clinics of North America
|November 9, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance cancer diagnosis and patient management. AI systems analyze digital pathology slides and patient data to predict treatment response, recurrence risk, and prognosis, improving prostate cancer care.

Keywords:
Artificial intelligenceDeep learningDigital pathologyMachine learningPathomics

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Area of Science:

  • Pathology
  • Oncology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) offers transformative potential in pathology and cancer patient management.
  • AI can serve as a predictive and prognostic biomarker.

Purpose of the Study:

  • To explore the application of AI in pathologic diagnosis and cancer patient management.
  • To highlight AI's role in analyzing histopathology slides and patient data for improved outcomes.

Main Methods:

  • AI-based systems analyze digitally scanned histopathology slides.
  • Deep learning models process individual or multimodal patient data.
  • Pattern identification is used for predictive analysis.

Main Results:

  • AI systems differentiate benign from malignant cells and grade tumors.
  • AI models predict therapeutic response, recurrence risk, and patient prognosis.
  • AI improves treatment planning for prostate cancer patients.

Conclusions:

  • AI enhances the efficiency and cost-effectiveness of pathology laboratories.
  • AI-driven insights improve cancer patient management and treatment strategies.
  • AI shows significant promise in revolutionizing oncologic pathology.