Subject to change.
Subject to change.
Nathan Silberman is the Chief Technology Officer at Artera, a precision-oncology company combining digital pathology with clinical data to guide cancer treatment decisions. He led development of ArteraAI Prostate and ArteraAI Breast, the first FDA-authorized AI software for cancer prognosis. Previously, Nathan developed FDA-cleared Ultrasound products at Butterfly Network, AI models for biological insights at PathAI, and large-scale AI infrastructure at Google.
As the clinical adoption of digital pathology (DP) and artificial intelligence (AI) accelerates, the absence of a standardized reimbursement pathway remains the primary barrier to widespread adoption. This session, hosted by the Digital Pathology Association (DPA) Reimbursement Task Force, provides an essential annual update on the coordinated efforts to move the needle on payment policy. The presentation will provide a strategic overview of the Task Force’s 2026 accomplishments and advocacy objectives. A featured segment will deep-dive into the DPA’s publication in the Journal of AI in Precision Oncology: "Recommendation Statement for the Validation, Implementation, and Clinical Application of Artificial Intelligence within a Clinical Laboratory." Authors will discuss how these peer-reviewed recommendations will serve as as a foundation for coverage for Medicare coverage of digital pathology-enabled AI solutions. The session will conclude with a comprehensive briefing on the shifting reimbursement landscape, including updates on AMA CPT coding pathways and DPA advocacy with CMS. Attendees will gain actionable insights into how clinical validation, coding pathways and payer engagement are converging to create a sustainable financial future for digital pathology.
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