Colonoscopy images linked to hereditary gene data in a study
A data set connects endoscopy visuals with tissue tests and inherited gene information to support AI research, not clinical claims.
English translation prepared automatically for the Brief. Original sources and creator credits remain the reference.
- Publication
- arXiv
- Stage
- Preprint
- What we read
- Summary of the paper
- Authors
- Zahra Ghaffari, Massih Bahar, Mojgan Forootan, Ali Darvishi, Hamidreza Bolhasani
- Universities and research institutions
- Not yet supplied in verified metadata; the Brief does not guess.
Institution metadata: OpenAlex record ↗
What they did and found
Researchers built a data set that brings colonoscopy images and videos together with tissue diagnoses and inherited gene results. This links what doctors see with genetic information to study how visuals relate to hereditary colorectal polyposis, under study conditions.
Why it matters
Public data sets rarely mix endoscopy with genetics; linking them could help classify syndromes and plan family monitoring, though real-world use needs more validation.
The data combine colonoscopy images with pathology results and inherited gene information from patients with hereditary colorectal polyposis, to support AI research focused on data quality.
A key point is that any AI system trained on these data should be tested across different centers and populations to avoid biased or unsafe conclusions.
Original sources · 1
- ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis ↗arXiv · 2026-09-17
Check the original paper for its authors, methods, version and access terms.
What remains uncertain
Small, specialized sample and limits on generalizability; results need testing at other centers before broad use.
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