Harnessing Advanced AI Methods for Registry Abstraction: ODS in the Driver's Seat (2026)
This presentation provides a deeper dive into how agentic AI works inside cancer registry workflows – how it reads unstructured clinical documents, reasons iteratively across sources, generates traceable outputs with citations, and integrates into abstraction processes. Presenters will demonstrate how AI moves from strategy to mechanics.
Learning Objectives:
- Explain how agentic AI differs from traditional automation and NLP by describing its iterative, multi‑document reasoning approach to registry abstraction.
- Identify key trust, safety, and reliability mechanisms—including citations, transparency, human‑in‑the‑loop review, and auditability—used in AI‑assisted registry workflows.
- Recognize how AI integrates into real registry workflows through casefinding, abstraction, cross‑document reasoning, and quality control supported by human validation.
Credit Information
| Activity Number | Credit Amount | Accreditation Period |
|---|---|---|
| 2026-118 | 1 CE | July 17, 2026 - July 15, 2028 |