Diagnostic performance of real-time characterization in artificial intelligence-assisted colonoscopy.
Lagström RMB; Bräuner KB; Frandsen MN; Gögenur I; Bulut M · 2026 · Endoscopy international open
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Background and study aims Because most colorectal polyps are diminutive and carry minimal cancer risk, artificial intelligence (AI) might enable diagnostic strategies such as leave-in-situ and resect-and-discard, provided it meets…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Europe PMC · DOI 10.1055/a-2860-7702
