ArticleFrontiers in neurology2020
Deep Learning-Based Screening Test for Cognitive Impairment Using Basic Blood Test Data for Health Examination.
Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 26 citations in OpenAlex.
- Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x.BMC oral health · 2025Article
- Development of a nomogram model for predicting dementia risk in the older adult population of Weifang, Shandong Province, China: based on the biopsychosocial model.Frontiers in public health · 2025Article
- Importance of serum albumin in machine learning-based prediction of cognitive function in the elderly using a basic blood test.Frontiers in neurology · 2024Article
- Estimation of cognitive impairment in chronic pain patients and characteristics of estimated mild cognitive impairment.Frontiers in neurology · 2024Article
- Enhancing dementia risk screening with GAN-synthesized periodontal examination and general blood test data.Frontiers in neurology · 2024Article
- Augmenting Blood Test and Periodontal Examination Data with Generative Adversarial Networks for Enhanced Dementia Risk Prediction.Advances in experimental medicine and biology · 2024Article
- Relationship Between Dementia and Systemic Metabolic Disorders.Advances in experimental medicine and biology · 2024Article
- Importance of Serum Albumin in Deep Learning-Based Prediction of Cognitive Function Data in the Aged Using a Basic Blood Test.Advances in experimental medicine and biology · 2024Article
- Recent deep learning models for dementia as point-of-care testing: Potential for early detection.Intractable & rare diseases research · 2023Article
- Relationship Between Cognitive Function, Oral Conditions and Systemic Metabolic Function in the Elderly.Advances in experimental medicine and biology · 2023Article
- Estimation of Human Cerebral Atrophy Based on Systemic Metabolic Status Using Machine Learning.Frontiers in neurology · 2022Article
- Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.Advances in experimental medicine and biology · 2022Article
- Machine Learning-Based Assessment of Cognitive Impairment Using Time-Resolved Near-Infrared Spectroscopy and Basic Blood Test.Frontiers in neurology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.