ReviewBJR open2020
The role of artificial intelligence in medical imaging research.
Review in BJR open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.
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
79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 212 citations in OpenAlex.
- Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.Abdominal radiology (New York) · 2026Pooled it
- Artificial intelligence in breast ultrasound: a systematic review of research advances.Frontiers in oncology · 2025Pooled it
- More than Fluid: AI-Derived Pleural Effusion Volume as a Marker of Cardiovascular Congestion in Transcatheter Aortic Valve Implantation.Medical sciences (Basel, Switzerland) · 2026Article
- Knowledge, Attitudes, and Practices Related to AI in Learning and Research Among Medical Students in Vietnam: Cross-Sectional Study.JMIR formative research · 2026Article
- Exploring the use of AI-generated counterfactual chest X-rays to enhance diagnostic learning in medical education.BMC medical education · 2026Article
- Health economics evaluation of artificial intelligence in the field of oncology: a scoping review.Health economics review · 2026Review
- State and Diffusion of National Institutes of Health Funding of AI in Radiology.Journal of imaging informatics in medicine · 2026Article
- Systematic Mining of Bioactive Compounds for Wound Healing FromJMIR bioinformatics and biotechnology · 2026Article
- Magnetic resonance imaging in breast cancer management: current applications, limitations, and future directions.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026Review
- Detection of phase-binning and interpolation artifacts in 4-dimensional computed tomography imaging using deep learning and rule-based approaches.Medical physics · 2025Article
- Artificial intelligence in medical imaging diagnosis: are we ready for its clinical implementation?Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Transformer based spinal vertebrae localization and scoliosis curvature classification.Scientific reports · 2025Article
- Deep learning can predict cardiovascular events from liver imaging.JHEP reports : innovation in hepatology · 2025Article
- Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Review
- Artificial intelligence assisted clinical fluorescence imaging achieves in vivo cellular resolution comparable to adaptive optics ophthalmoscopy.Communications medicine · 2025Article
- Exploring Radiographers' Readiness for Artificial Intelligence in Kuwait: Insights and Applications.Health science reports · 2025Article
- Cardiac Repair and Regeneration via Advanced Technology: Narrative Literature Review.JMIR biomedical engineering · 2025Review
- Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Review
- A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications.Clinical and translational science · 2025Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Without doubt, artificial intelligence (AI) is the most discussed topic today in medical imaging research, both in diagnostic and therapeutic. For diagnostic imaging alone, the number of publications on AI has increased from about 100-150 per year in 2007-2008 to 1000-1100 per year in 2017-2018. Researchers have applied AI to automatically recognizing complex patterns in imaging data and providing quantitative assessments of radiographic characteristics. In radiation oncology, AI has been applied on different image modalities that are used at different stages of the treatment.
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.