Condition: Colorectal Adenoma · Artificial Intelligence (AI) · Sponsor: Renmin Hospital of Wuhan University
This study is a prospective,multi-center and observational clinical study.Investigators would like to innovatively construct a "trinity" database of colorectal tubular adenomas based on white light - magnifying chromo - pathological images.It simulates the decision - making logic of doctors, and based on the multimodal endoscopic LAFEQ method previously proposed, develop a multimodal deep - learning diagnostic model for colon adenomas and an interpretable risk prediction model for intestinal adenomas. While achieving high - precision auxiliary treatment decisions, clearly present the decision - making basis, and break through the limitation of poor interpretability of previous medical imaging AI models.
This description comes directly from the study's public registry record.
Mingkai Chen · 13720330580 · kaimingchen@163.com
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| Renmin Hospital of Wuhan University | Wuhan, Hubei, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07073430