Oral Abstracts – Spacial Characterization and AI-Driven Prevention of Residual Cancer Following Focal Therapy
Substituting for Wayne Brisbane, MD, Preston Sprenkle, MD, highlights the evaluation of AI-driven cancer risk mapping in guiding focal therapy for prostate cancer. This 7-minute presentation shares results related to Unfold AI, a tool cleared by the FDA in December 2022 for generating 3D cancer risk maps.
The primary focus of the presentation is determining whether AI mapping could predict marginal treatment failures. The AI model demonstrated high precision, significantly reducing necessary treatment margins and potentially enhancing patient outcomes while minimizing treatment invasiveness.
Dr. Sprenkle discusses future directions, including the prospective use of AI-defined margins in treatment planning, which could potentially reduce focal therapy failures. This retrospective study underscores the transformative potential of AI in improving prostate cancer treatment precision.
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