ReviewPrzeglad gastroenterologiczny2023
Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?
Review in Przeglad gastroenterologiczny, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Bibliometric analysis of preoperative radiotherapy for locally advanced rectal cancer: evolution and future.Frontiers in medicine · 2025Pooled it
- MRI-based radiomics for predicting pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Global, regional, national burden of colorectal cancer from 1990 to 2021, with projections of incidence to 2050: a systematic analysis of the global burden of disease study 2021.Frontiers in oncology · 2025Pooled it
- The efficacy and safety of neoadjuvant chemoradiotherapy combined with immunotherapy for locally advanced rectal cancer patients: a systematic review.Frontiers in immunology · 2024Pooled it
- Underwater endoscopic mucosal resection is superior to conventional endoscopic mucosal resection for medium-sized colorectal sessile polyps: a randomized controlled trial.Scientific reports · 2024Trial
- Assessing Quality Gaps and Clinician Perspectives on AI Integration in Colorectal Cancer NGS Pathways.Current oncology (Toronto, Ont.) · 2026Article
- Socioeconomic disparities in survival of patients with superficial colorectal cancer.Discover oncology · 2026Article
- Artificial intelligence for surgical care in war-torn sudan: Feasibility, barriers, and ethical perspectives from a conflict zone.Surgery in practice and science · 2026Article
- ATOH1 and NPAS1 are immune related prognostic biomarkers in colorectal cancer.Discover oncology · 2026Article
- Enhanced CT-Based Delta-Radiomics: Predicting Lymphovascular and Perineural Invasion in Rectal Cancer Preoperatively.Journal of imaging informatics in medicine · 2026Article
- HALP score outperforms systemic inflammatory biomarkers for prognosis in locally advanced rectal cancer.Biomolecules & biomedicine · 2026Observational
- Next-Generation Sequencing-Based Detection ofGenes · 2026Article
- Transfer learning with Bayesian optimization for colorectal cancer histopathology classification.BMC medical imaging · 2026Article
- Influence of preprocessing of stimulated Raman scattering images on the performance of deep neural networks for detecting cancer tissue.Quantitative imaging in medicine and surgery · 2025Article
- Safety with the senhance™ robotic system in 3,239 patients across various surgical disciplines.Langenbeck's archives of surgery · 2025Article
- Retrospective analysis of curative rectal cancer surgery outcomes in elderly patients.Scientific reports · 2025Article
- Article
- A fusion model to predict the survival of colorectal cancer based on histopathological image and gene mutation.Scientific reports · 2025Article
- Alterations in expression of miRNA 497 and long non-coding RNAS (XIST-TSIX) and its significant role in colorectal cancer prediction.Scientific reports · 2025Article
- Breaking surgical barriers: ERAS in action in Romania.Journal of medicine and life · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer is one of the most prevalent types of cancer, with histopathologic examination of biopsied tissue samples remaining the gold standard for diagnosis. During the past years, artificial intelligence (AI) has steadily found its way into the field of medicine and pathology, especially with the introduction of whole slide imaging (WSI). The main outcome of interest was the composite balanced accuracy (ACC) as well as the F1 score. The average reported ACC from the collected studies was 95.8 ±3.8%. Reported F1 scores reached as high as 0.975, with an average of 89.7 ±9.8%, indicating that existing deep learning algorithms can achieve
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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.