ArticleCancer cell2023
Multimodal deep learning: An improvement in prognostication or a reflection of batch effect?
Article in Cancer cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics.Briefings in bioinformatics · 2026Review
- Deep feature batch correction using ComBat for machine learning applications in computational pathology.Journal of pathology informatics · 2024Article
- Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.Science advances · 2024Article
- Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review.Npj imaging · 2024Review
- Deep learning in cancer genomics and histopathology.Genome medicine · 2024Review
- Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning.European heart journal. Digital health · 2023Article
- Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study.Cell reports. Medicine · 2023Article
- Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology.NPJ precision oncology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
36368319What 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.