ArticleAmerican journal of respiratory and critical care medicine2020
Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.
Article in American journal of respiratory and critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05968898 (Assessment of a Radiomics-based Computer-Aided Diagnosis Tool for Cancer Risk Stratification of Pulmonary Nodules), which is not on this map. Cited by 107 papers, 3 of them syntheses 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.
Assessment of a Radiomics-based Computer-Aided Diagnosis Tool for Cancer Risk Stratification of Pulmonary Nodules
Who cites it
107 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Risk prediction for lung cancer screening: a systematic review and meta-regression.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- ESR Essentials: lung cancer screening with low-dose CT-practice recommendations by the European Society of Thoracic Imaging.European radiology · 2026Guideline
- Pooled it
- Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets.Rheumatology (Oxford, England) · 2025Trial
- Pulmonary nodules: classification, biomarkers, signaling pathways, diseases, early diagnosis and management.Signal transduction and targeted therapy · 2026Review
- Scientific evidence of commercial artificial intelligence products for pulmonary nodule assessment on CT scans: a systematic review.European radiology · 2026Article
- Biomarkers for Lung Nodule Risk Stratification: Are We There Yet?Diagnostics (Basel, Switzerland) · 2026Review
- Theoretical Clinical Utility of Advanced Practice Provider Use of an Artificial Intelligence Radiomics-based Tool for Pulmonary Nodule Evaluation and Management.CHEST pulmonary · 2026Article
- Evaluation of an artificial intelligence generated Brock score to determine malignancy risk of screen-detected pulmonary nodules.European journal of radiology open · 2026Article
- Article
- DeepFAN, a transformer-based model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multireader, multicase trial.Nature cancer · 2026Article
- A new era of precision diagnosis and treatment for lung cancer: artificial intelligence-driven multimodal data integration and clinical applications.Cell death & disease · 2026Review
- Tissue-derived extracellular vesicle profiling identifies GLUT1 enabling ultrasensitive circulating quantification and early detection of non-small cell lung cancer.Clinical and translational medicine · 2026Article
- Performance validation of a closed loop fully automated AI model for lung nodule stratification in screening cases.Respiratory investigation · 2026Article
- Real-world before-and-after evaluation of AI support for lung cancer diagnosis at three US lung nodule clinics.PloS one · 2026Article
- Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodules.European radiology · 2026Article
- Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules.PloS one · 2026Article
- Comparison of three commercial AI tools for detection and malignancy assessment of incidental lung nodules.Frontiers in medicine · 2026Article
- Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data.The veterinary quarterly · 2025Article
- Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.BMJ open respiratory research · 2025Article
47 more citing papers are in PubMed but not listed here.
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Authors and funding
20 authors.
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Abstract
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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.