e-ISSN: Pending
Negative / Null Result ReportMedicine· cited by 45

Artificial Intelligence for Real-Time Prediction of the Histology of Colorectal Polyps by General Endoscopists

Douglas K. Rex; Indira Bhavsar-Burke; Daniel Buckles; James R. Burton; Amanda K. Cartee; Kevin M. Comar; Adam Edwards; Blair Fennimore · 2024 · Annals of Internal Medicine

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: Real-time prediction of histologic features of small colorectal polyps may prevent resection and/or pathologic evaluation and therefore decrease colonoscopy costs. Previous studies showed that computer-aided diagnosis (CADx)…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.7326/m24-0086