ArticleNature reviews. Clinical oncology2020
AI outperforms radiologists in mammographic screening.
Article in Nature reviews. Clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Deep Learning Prediction of Pathologic Complete Response in Breast Cancer Using MRI and Other Clinical Data: A Systematic Review.Tomography (Ann Arbor, Mich.) · 2022Pooled it
- Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.European radiology · 2021Pooled it
- Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Revolutionizing Multimorbidity Care: A Narrative Review on Artificial Intelligence Applications.Health science reports · 2026Article
- Deep learning-based classification of benign and malignant breast microcalcifications in mammography.Scientific reports · 2025Article
- Review
- The Right to Explanation in AI: In a Lonely Place.Journal of medical Internet research · 2025Article
- Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging Diagnostics: Qualitative Study.Journal of medical Internet research · 2025Article
- Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare.Nanomaterials (Basel, Switzerland) · 2025Review
- Detecting the left atrial appendage in CT localizers using deep learning.Scientific reports · 2025Article
- Global Research Trends, Hotspots, Impacts, and Emergence of Artificial Intelligence and Machine Learning in Health and Medicine: A 25-Year Bibliometric Analysis.Healthcare (Basel, Switzerland) · 2025Review
- Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review.PeerJ. Computer science · 2025Article
- Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions.Future healthcare journal · 2024Article
- The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review.Journal of medical Internet research · 2024Article
- Encrypted federated learning for secure decentralized collaboration in cancer image analysis.Medical image analysis · 2024Article
- The global patent landscape of artificial intelligence applications for cancer.Nature biotechnology · 2023Article
- Article
- PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework.Nature genetics · 2023Article
- Collaborative training of medical artificial intelligence models with non-uniform labels.Scientific reports · 2023Article
- Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
31965085What 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.