ReviewClinical imaging2020
Understanding artificial intelligence based radiology studies: What is overfitting?
Review in Clinical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 75 papers, 3 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.
Extrapolative Study on the Prognosis of Out-of-hospital Cardiac Arrest in the Hsinchu District Using an Artificial Intelligence Cerebral Gray-white Matter Ratio Module
Change in the Proportion of Correct Interpretations of Pulmonary Opacities by General Practitioners Using an Expert System
Who cites it
75 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diagnostic accuracy of radiomics and artificial intelligence models in diagnosing lymph node metastasis in head and neck cancers: a systematic review and meta-analysis.Neuroradiology · 2025Pooled it
- Accuracy of artificial intelligence for tooth extraction decision-making in orthodontics: a systematic review and meta-analysis.Clinical oral investigations · 2022Pooled it
- The Application and Development of Deep Learning in Radiotherapy: A Systematic Review.Technology in cancer research & treatmentPooled it
- Artificial Intelligence and Robotic Surgery in Lymphedema: A Scoping Review of Current Applications, Clinical Translation, and Evidence Gaps.Plastic and reconstructive surgery. Global open · 2026Article
- Evaluation Frameworks for Clinical AI Incorporating Validation Strategies, Real-World Applicability, and Ethical Principles: Scoping Review.Journal of medical Internet research · 2026Article
- Harnessing artificial intelligence for the assessment of liver fibrosis and steatosisWorld journal of gastroenterology · 2026Review
- LungGANDetectAI: a GAN-augmented and attention-guided deep learning framework for accurate and explainable lung cancer detection.Scientific reports · 2026Article
- Development and validation of an artificial intelligence model based on liver CSE-MRI fat maps for predicting dyslipidemia.PLOS digital health · 2026Article
- Artificial Intelligence Applications in Musculoskeletal Imaging.Current reviews in musculoskeletal medicine · 2025Review
- Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM).NPJ digital medicine · 2025Article
- Development of artificial intelligence-based algorithms for the process of human identification through dental evidence.International journal of legal medicine · 2025Article
- Comparing Auto-Machine Learning and Expert-Designed Models in Diagnosing Vitreomacular Interface Disorders.Journal of clinical medicine · 2025Article
- Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes.European radiology · 2025Article
- MRI management of focal liver lesions: what a beginner cannot fail to know.Frontiers in oncology · 2025Review
- Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning.Journal of experimental orthopaedics · 2025Article
- A deep learning AI model for determining the relationship between X-Ray detectors and patient positioning in chest radiography.PloS one · 2025Article
- Band Visibility in High-Resolution Optical Coherence Tomography Assessed With a Custom Review Tool and Updated, Histology-Derived Nomenclature.Translational vision science & technology · 2024Article
- Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer's Disease Diagnosis.Bioengineering (Basel, Switzerland) · 2024Article
- Review
- Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare.ArXiv · 2024Article
15 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
3 authors.
Funding
Abstract
Artificial intelligence (AI) is a broad umbrella term used to encompass a wide variety of subfields dedicated to creating algorithms to perform tasks that mimic human intelligence. As AI development grows closer to clinical integration, radiologists will need to become familiar with the principles of artificial intelligence to properly evaluate and use this powerful tool. This series aims to explain certain basic concepts of artificial intelligence, and their applications in medical imaging starting with a concept of overfitting.
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.