ArticleJournal of endourology2022
Machine Learning Prediction of Kidney Stone Composition Using Electronic Health Record-Derived Features.
Article in Journal of endourology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Artificial intelligence in urolithiasis: a systematic review of utilization and effectiveness.World journal of urology · 2024Pooled it
- A two-stage deep learning framework for kidney disease detection using modified specular-free imaging and EfficientNetB2.Scientific reports · 2026Article
- Is Systematic Biopsy Mandatory in All MRI-Guided Fusion Prostate Biopsies? A Machine Learning Prediction Model.Cancers · 2026Article
- Development and validation of an interpretable machine learning model for predicting postoperative fever after flexible ureteroscopic lithotripsy: a single-center retrospective cohort study.Frontiers in medicine · 2026Article
- An optimized bidirectional recurrent neural network for kidney stone detection based on developed bald eagle search method in CT scan images.Scientific reports · 2025Article
- Construction and validation of a urinary stone composition prediction model based on machine learning.Urolithiasis · 2025Article
- AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data.Journal of clinical medicine · 2025Article
- Predictive value of the stone-free rate after percutaneous nephrolithotomy based on multiple machine learning models.Frontiers in medicine · 2025Article
- Comprehensive analysis and validation of TP73 as a biomarker for calcium oxalate nephrolithiasis using machine learning and in vivo and in vitro experiments.Urolithiasis · 2024Article
- Predicting symptomatic kidney stones using machine learning algorithms: insights from the Fasa adults cohort study (FACS).BMC research notes · 2024Article
- Use of the flexible vacuum-assisted ureteral access sheath combined with flexible ureteroscope for patients with large renal stones.American journal of translational research · 2024Article
- An arterial spin labeling-based radiomics signature and machine learning for the prediction and detection of various stages of kidney damage due to diabetes.Frontiers in endocrinology · 2024Article
- Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data.Scientific reports · 2023Article
- Artificial Intelligence for Kidney Stone Spectra Analysis: Using Artificial Intelligence Algorithms for Quality Assurance in the Clinical Laboratory.Mayo Clinic proceedings. Digital health · 2023Article
- Theranostic roles of machine learning in clinical management of kidney stone disease.Computational and structural biotechnology journal · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
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.