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Artificial Intelligence-Enabled Prostate Cancer Diagnosis and Prognosis: Current State and Future Implications
Swati Satturwar1, Anil V Parwani
1The Ohio State University, Wexner Medical Center, Columbus, OH.
Advances in Anatomic Pathology
|January 5, 2024
Summary
Artificial intelligence (AI) shows promise in improving prostate cancer diagnosis, offering benefits like enhanced detection and efficiency. However, widespread adoption faces hurdles such as workflow costs and a need for more prospective studies.
Area of Science:
- Digital pathology
- Artificial intelligence in oncology
Background:
- AI-based diagnostics are emerging for prostate cancer, with studies showing improved detection, grading, and workflow efficiency.
- The FDA has approved AI tools for prostate cancer review, marking a significant advancement.
Purpose of the Study:
- To review the current applications of AI in prostate cancer diagnosis.
- To highlight the future potential of AI in prostate pathology for enhanced patient care.
Main Methods:
- Review of retrospective studies on AI for prostate cancer diagnostics.
- Analysis of factors limiting AI implementation in routine pathology.
Main Results:
- AI demonstrates benefits in prostate cancer detection, quantification, grading, and interobserver concordance.
- Cost, regulatory guidelines, and lack of prospective data are key barriers to AI adoption.
Conclusions:
- AI holds significant potential to improve prostate cancer diagnosis, risk stratification, and prognostication.
- Overcoming implementation challenges is crucial for realizing AI's full benefits in patient care.
