ReviewEuropean radiology experimental2018
Big data, artificial intelligence, and structured reporting.
Review in European radiology experimental, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07438197 (TENS Versus Foam Rolling for Recovery After Eccentric Exercise-Induced Muscle Damage in Elite Female Volleyball Players), which is not on this map. Cited by 39 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.
TENS Versus Foam Rolling for Recovery After Eccentric Exercise-Induced Muscle Damage in Elite Female Volleyball Players: A Comparative Study
Who cites it
39 citing papers in PubMed.
- Comparison of AI-generated radiology impressions: a multi-stakeholder evaluation.NPJ digital medicine · 2026Article
- AI-driven diagnosis of pneumococcal infections in children-a call for primary-care focused and a coherent evidence base.Frontiers in artificial intelligence · 2026Review
- Article
- Explanation and elaboration of MedinAI: guidelines for reporting artificial intelligence studies in medicines, pharmacotherapy, and pharmaceutical services.International journal of clinical pharmacy · 2025Article
- [Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Review
- Structured Reporting in Sleep Medicine.Diagnostics (Basel, Switzerland) · 2025Article
- Retrospective Radiology Research: Do We Need Informed Patient Consent?Journal of bioethical inquiry · 2025Article
- Evaluation of guided reporting: quality and reading time of automatically generated radiology report in breast magnetic resonance imaging using a dedicated software solution.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Article
- Enhancing Radiological Reporting in Head and Neck Cancer: Converting Free-Text CT Scan Reports to Structured Reports Using Large Language Models.The Indian journal of radiology & imaging · 2025Article
- Impact of AI on radiology: a EuroAIM/EuSoMII 2024 survey among members of the European Society of Radiology.Insights into imaging · 2024Article
- Article
- Substantial variability in what is considered important in the radiological report for anterior shoulder instability: a Delphi study with Dutch musculoskeletal radiologists and orthopedic surgeons.JSES international · 2024Article
- Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers' perspectives.BMC medical ethics · 2024Article
- Detection of femoropopliteal arterial steno-occlusion at MR angiography: initial experience with artificial intelligence.European radiology experimental · 2024Article
- Impact of Automated Transfer of Semi-Automated Segmentation and Structured Report Rule Requirements on Cardiac MRI Report Quality, Standardization, and Efficiency.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- ESR paper on structured reporting in radiology-update 2023.Insights into imaging · 2023Article
- [Report template from the German Society of Urology and the German Radiological Society for standardized, structured reporting of native computed tomography scans in the diagnosis of urinary stones].Urologie (Heidelberg, Germany) · 2023Review
- Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case.Abdominal radiology (New York) · 2023Article
- Natural language processing for automatic evaluation of free-text answers - a feasibility study based on the European Diploma in Radiology examination.Insights into imaging · 2023Article
- Imaging Diagnosis of Hepatocellular Carcinoma: A State-of-the-Art Review.Diagnostics (Basel, Switzerland) · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The past few years have seen a considerable rise in interest towards artificial intelligence and machine learning applications in radiology. However, in order for such systems to perform adequately, large amounts of training data are required. These data should ideally be standardised and of adequate quality to allow for further usage in training of artificial intelligence algorithms. Unfortunately, in many current clinical and radiological information technology ecosystems, access to relevant pieces of information is difficult. This is mostly because a significant portion of information is handled as a collection of narrative texts and interoperability is still lacking. This review aims at giving a brief overview on how structured reporting can help to facilitate research in artificial intelligence and the context of big data.
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.