e-ISSN: Pending
Negative / Null Result ReportMedicine

AI-assisted radiomics for classification of benign and non-benign right heart masses in 2D-echocardiography.

Chen Y; Deng M; Xie L; Cheng H; Wu J; Yang A; Mou Y; Hu S · 2026 · Journal of translational 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 The rarity of right heart masses challenges diagnostic proficiency, while reproducibility is affected by the echocardiography operator. Artificial intelligence (AI)-based imaging tools may help address these limitations. Methods…

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: Europe PMC · DOI 10.1186/s12967-026-08322-8