ReviewFrontiers in oncology2026
Artificial intelligence in the surgical management for colorectal cancer: current applications and future directions.
Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is being increasingly investigated across colorectal cancer (CRC) management, with the potential to improve diagnostic accuracy, support surgical decision-making, and refine prognostic stratification. This review focuses on AI applications within the surgical treatment continuum for CRC, covering endoscopic screening and diagnosis, radiological staging, intraoperative navigation, postoperative complication prediction and prognostic risk stratification. From a surgeon-centered perspective, we critically analyze the gap between model performance and real-world clinical utility, as well as key translational barriers. We believe this review provides a foundation for clinicians and researchers seeking to understand the current state and future potential of AI in CRC surgical care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.