ArticleRadiology2018
Deep Learning Lends a Hand to Pediatric Radiology.
Article in Radiology, 2018. 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.
- A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study.JMIR diabetes · 2024Article
- Artificial Intelligence in Pediatrics: Learning to Walk Together.Turkish archives of pediatrics · 2024Article
- Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction.Scientific reports · 2023Article
- The uncovered biases and errors in clinical determination of bone age by using deep learning models.European radiology · 2023Article
- Data harnessing to nurture the human mind for a tailored approach to the child.Pediatric research · 2023Review
- [Artificial intelligence in image evaluation and diagnosis].Monatsschrift Kinderheilkunde : Organ der Deutschen Gesellschaft fur Kinderheilkunde · 2021Review
- Automatic assessment of bone age in Taiwanese children: A comparison of the Greulich and Pyle method and the Tanner and Whitehouse 3 method.The Kaohsiung journal of medical sciences · 2020Article
- Artificial intelligence-aided decision support in paediatrics clinical diagnosis: development and future prospects.The Journal of international medical research · 2020Review
- Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children.Scientific reports · 2019Article
- Application of artificial intelligence in pediatrics: past, present and future.World journal of pediatrics : WJP · 2019Article
Corrections and comments
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Authors and funding
1 author.
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.