ArticleNPJ digital medicine
Erratum: Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.
Article in NPJ digital medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Whole-mount histopathology as spatial ground truth for artificial intelligence in prostate cancer: a structured narrative review of techniques, models, and translational gaps.American journal of clinical and experimental urology · 2026Review
- IR-GPT: AI Foundation Models to Optimize Interventional Radiology.Cardiovascular and interventional radiology · 2025Review
- Deep learning based digital pathology for predicting treatment response to first-line PD-1 blockade in advanced gastric cancer.Journal of translational medicine · 2024Article
Corrections and comments
- Erratum for
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
[This corrects the article DOI: 10.1038/s41746-019-0112-2.].
Indexed as
Identifiers
What OpenQuestion holds
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.