ArticleNature medicine2019
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.
Article in Nature medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 5 registered trials, which are not on this map. Cited by 805 papers, 4 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.
Nodule IMmunophenotyping Biomarker for Lung Cancer Early Diagnosis Study
Rapid Diagnostic Centre Biomarker Study
Study on the Staging and Prognosis Model of Bladder Cancer Based on Artificial Intelligence and Multimodal Omics Features
Artificial Intelligence-based Health Information Management System and Key Technology Study of Early Screening and Hierarchical Diagnosis and Treatment of Pancreatic Cancer
Artificial Intelligence-powered Low-Dose Computed Tomography for Screening of Pancreatic Cancer
Who cites it
805 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Machine Learning to Predict Extranodal Extension in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.The Laryngoscope · 2026Pooled it
- Performance of artificial intelligence-assisted ultrasound elastography in classifying benign and malignant breast tumors: a systematic review and meta-analysis.BMC medical imaging · 2025Pooled it
- Radiogenomic profiling to determine BRCA alteration status-a systematic review and meta-analysis.The British journal of radiology · 2025Pooled it
- Artificial intelligence versus radiologists in predicting lung cancer treatment response: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Deep learning-based CT model for non-invasive prediction of tertiary lymphoid structures in pancreatic cancer: a multicenter study with prospective validation in an immunochemotherapy cohort.Journal for immunotherapy of cancer · 2026Trial
- Pulmonary nodules: classification, biomarkers, signaling pathways, diseases, early diagnosis and management.Signal transduction and targeted therapy · 2026Review
- Radiomics machine learning models for lung cancer early diagnosis in heterogenous multicentre chest CT data: LIBRA study results.European radiology experimental · 2026Article
- Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence.Nature medicine · 2026Article
- Decoding cancer with artificial intelligence: Transforming research, diagnosis, and therapy with future insights.Translational oncology · 2026Review
- The deep learning radiomics nomogram for risk stratification in multiple myeloma using automatic whole-body [European journal of nuclear medicine and molecular imaging · 2026Article
- Multicohort Evaluation of Acquisition Confounding in Single-Site Lung-CT Malignancy Classification with Frozen Foundation-Model Features.Journal of imaging informatics in medicine · 2026Article
- Multimodal Artificial Intelligence in Lung Cancer: From Data Integration to Precision Oncology.Cancers · 2026Review
- Editorial for the Special Issue "Applications of Biomedical Imaging and Sensing Technologies in Disease Diagnosis".Sensors (Basel, Switzerland) · 2026Article
- Clinical applications of artificial intelligence-driven nitric oxide: a bibliometric and scientific mapping analysis.Medical gas research · 2026Review
- Integrating Deep Learning of Low-Dose CT Imaging With Clinical Data for Lung Cancer Risk Prediction.Chest · 2026Article
- Tumor metrics imaging core labs: primer for radiologists.Abdominal radiology (New York) · 2026Review
- Fusion of Radiomics and Gated Graph Attention Network for Pulmonary Nodule Malignancy Classification.Journal of imaging · 2026Article
- Artificial intelligence in oncology: linking biological discovery to clinical utility.Molecular cancer · 2026Review
- Machine learning and AI for cancer research and care: a review of applications, limitations, and future directions.Journal of the Egyptian National Cancer Institute · 2026Review
- Diagnostic accuracy of deep learning-assisted low-dose CT screening for lung cancer detection: a systematic review and meta-analysis.Diagnostic and prognostic research · 2026Article
745 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Commented on by
- Erratum issued
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in the United States
Indexed as
Identifiers
31110349What 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.