ArticleBrain communications2024
Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity.
Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 7 citations in OpenAlex.
- Longitudinal Degeneration of Microstructural and Structural Connectivity Patterns Following Stroke.Stroke · 2026Article
- The evolution of Alzheimer's target identification: Towards a fusion of artificial and cellular intelligence.The journal of prevention of Alzheimer's disease · 2025Article
- A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes.bioRxiv : the preprint server for biology · 2025Article
- Prediction of stroke severity: systematic evaluation of lesion representations.Annals of clinical and translational neurology · 2024Article
- Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers.Brain communications · 2024Article
- Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 7 institutions in 6 countries.
Funding
Abstract
Deep learning has allowed for remarkable progress in many medical scenarios. Deep learning prediction models often require 10
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.