Computer copilots for endoscopic diagnosis.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 36050460.
- Also identified by DOI 10.1038/s41746-022-00678-7 and PMC identifier 9436955.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Artificial intelligence (AI) tools for endoscopy are now entering clinical practice after demonstrating substantial improvements to polyp detection on colonoscopy. As this technology continues to mature, efforts to develop and validate a new frontier of possibilities—including diagnostic classification, risk stratification, and clinical outcomes assessment—are now underway. In <i>npj Digital Medicine</i>, scientists from Cosmo AI/Linkverse and collaborators report an extension to the first FDA-cleared AI tool for colonoscopy that goes beyond polyp detection to enable video-based diagnostic characterization.