ArticleThe Journal of international medical research2019
Artificial neural network optimizes self-examination of osteoporosis risk in women.
Article in The Journal of international medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 14 citations in OpenAlex.
- Artificial Intelligence in Rheumatology: From Algorithms to Clinical Impact in Osteoporosis and Chronic Inflammatory Rheumatic Diseases.Journal of clinical medicine · 2026Article
- Artificial intelligence assisted automatic screening of opportunistic osteoporosis in computed tomography images from different scanners.European radiology · 2025Article
- Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women.Scientific reports · 2025Article
- Application of machine learning on health examination data for predicting the decrease of bone mineral density.International journal of clinical and experimental pathology · 2025Article
- Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus.Journal of endocrinological investigation · 2023Article
- Application of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis.Sensors (Basel, Switzerland) · 2022Article
- Applications of Machine Learning in Bone and Mineral Research.Endocrinology and metabolism (Seoul, Korea) · 2021Review
- Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data.International journal of environmental research and public health · 2021Article
- Evolution in fracture risk assessment: artificial versus augmented intelligence.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Article
- Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus.The Journal of international medical research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
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.