ArticleJournal of healthcare engineering2019
Cloud-Based Brain Magnetic Resonance Image Segmentation and Parcellation System for Individualized Prediction of Cognitive Worsening.
Article in Journal of healthcare engineering, 2019. 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
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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.
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Who cites it
8 citing papers in PubMed.
- Exercise induces structural brain changes and elevates irisin levels and enhances functional performance in multiple sclerosis a pilot randomized study.Scientific reports · 2026Trial
- Investigation of the effects of radiotherapy and chemotherapy on brain volume in cancer patients: brain tumor study.Journal of neuro-oncology · 2026Article
- Striatal functional connectivity alterations in mild cognitive impairment subtypes defined by CSF A/T biomarkers.Frontiers in aging neuroscience · 2026Article
- Alterations in functional connectivity of the anterior cingulate cortex associated with different levels of tau and amyloid-Frontiers in neuroscience · 2026Article
- Brain morphological characteristics predicting clinical response to selective serotonin reuptake inhibitors or cholinesterase inhibitors: A study of electronic medical records in patients with cognitive disorders.International psychogeriatrics · 2025Observational
- A Volumetric Study of the Corpus Callosum in the Turkish Population.Journal of neurological surgery. Part B, Skull base · 2022Article
- Brain atrophy in middle age using magnetic resonance imaging scans from Japan's health screening programme.Brain communications · 2022Article
- Distinct brain volume changes associated with the head-turning sign and Neucop-Q response patterns in Alzheimer's disease.Journal of Alzheimer's disease reportsArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
For patients with cognitive disorders and dementia, accurate prognosis of cognitive worsening is critical to their ability to prepare for the future, in collaboration with health-care providers. Despite multiple efforts to apply computational brain magnetic resonance image (MRI) analysis in predicting cognitive worsening, with several successes, brain MRI is not routinely quantified in clinical settings to guide prognosis and clinical decision-making. To encourage the clinical use of a cutting-edge image segmentation method, we developed a prediction model as part of an established web-based cloud platform, MRICloud. The model was built in a
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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.