ArticleNature2020
Transparency and reproducibility in artificial intelligence.
Abstract readLetterComment
In one paragraph
Article in Nature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 11 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 11 pooled it
–field-weighted citation impact
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
175 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus.BMC medical informatics and decision making · 2026Pooled it
- Efficacy of Automatic 3D Segmentation of the Upper Airway in CBCT or CT Scans via Artificial Intelligence Versus Manual Segmentation by Human Experts: A Systematic Review and Meta-Analysis.Clinical and experimental dental research · 2026Pooled it
- Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review.Journal of imaging informatics in medicine · 2025Pooled it
- Concordance with SPIRIT-AI guidelines in reporting of randomized controlled trial protocols investigating artificial intelligence in oncology: a systematic review.The oncologist · 2025Pooled it
- Using machine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review.PloS one · 2024Pooled it
- Predictive modelling of brain disorders with magnetic resonance imaging: A systematic review of modelling practices, transparency, and interpretability in the use of convolutional neural networks.Human brain mapping · 2023Pooled it
- Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis.Journal of the National Cancer Institute · 2023Pooled it
- Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.Radiology · 2022Pooled it
- The reporting quality of natural language processing studies: systematic review of studies of radiology reports.BMC medical imaging · 2021Pooled it
- Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.European radiology · 2021Pooled it
- Applications of machine learning to undifferentiated chest pain in the emergency department: A systematic review.PloS one · 2021Pooled it
- Mitigating Domain Shift and Dataset Bias in Deep Learning Models for Cancer Diagnostics.Journal of imaging informatics in medicine · 2026Review
- Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.Signal transduction and targeted therapy · 2026Review
- Big Data and Artificial Intelligence in Cancer Drug Discovery: Promise, Challenges, and Emerging Opportunities.Cancers · 2026Review
- Mobile Health (mHealth) Apps in Sport Training: A Scoping Review.Sensors (Basel, Switzerland) · 2026Article
- Artificial intelligence in oncology: linking biological discovery to clinical utility.Molecular cancer · 2026Review
- A Specimen-Separated Machine Learning Benchmark Toward Real-Time Tissue-Type Identification in Guided Surgery Using Ex Vivo Bovine Laser-Induced Breakdown Spectroscopy.Sensors (Basel, Switzerland) · 2026Article
- Leading Towards a Translation Readiness Framework: A Systematic Review of Deep Learning Approaches for Eye Disease Diagnosis.Diagnostics (Basel, Switzerland) · 2026Review
- Exposure-informed lung transcriptomic analysis links predicted NNK targets to cell type-specific remodeling programs in idiopathic pulmonary fibrosis.Functional & integrative genomics · 2026Article
- A systematic map of generative AI guidelines and reporting in ecology and evolutionary biology: towards the framework of AI disclosure for Improved Transparency (AIdIT).Research integrity and peer review · 2026Review
115 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
23 authors.
Benjamin Haibe-KainsPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. bhaibeka@uhnresearch.ca.ORCID http://orcid.org/0000-0002-7684-0079
George Alexandru AdamDepartment of Computer Science, University of Toronto, Toronto, Ontario, Canada.
Ahmed HosnyArtificial Intelligence in Medicine (AIM) Program, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Farnoosh KhodakaramiPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Massive Analysis Quality Control (MAQC) Society Board of Directors
Levi WaldronDepartment of Epidemiology and Biostatistics and Institute for Implementation Science in Population Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, USA.
Bo WangDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Chris McIntoshDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Anna GoldenbergDepartment of Computer Science, University of Toronto, Toronto, Ontario, Canada.
Anshul KundajeDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3084-2287
Casey S GreeneDept. of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8713-9213
Tamara BroderickDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Michael M HoffmanPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-4517-1562
Jeffrey T LeekDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Keegan KorthauerDepartment of Statistics, University of British Columbia, Vancouver, British Columbia, Canada.
Wolfgang HuberEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0474-2218
Alvis BrazmaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.ORCID http://orcid.org/0000-0001-5988-7409
Joelle PineauMcGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-0747-7250
Robert TibshiraniDepartment of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA.
Trevor HastieDepartment of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA.
John P A IoannidisDepartment of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA.
John QuackenbushDepartment of Biostatistics, Harvard T.H Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2702-5879
Hugo J W L AertsArtificial Intelligence in Medicine (AIM) Program, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Funding
Cancer Genomics:Integrative and Scalable Solutions in R / BioconductorU24CA180996 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MORGAN, MARTIN T, WALDRON, LEVI · 2014 to 2023
$6.9MCharacterization of high-grade serous ovarian cancer subtypes via single-cell profilingR01CA237170 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DOHERTY, JENNIFER A., GREENE, CASEY S · 2019 to 2024
$3.0MDeep learning frameworks for regulatory genomics.DP2GM123485 · NIGMS · STANFORD UNIVERSITY · PI KUNDAJE, ANSHUL · 2016 to 2016
$2.4MBiotechnology and Biological Sciences Research Council BB/E025080/1NCI NIH HHS R01 CA237170NCI NIH HHS U24 CA180996NIGMS NIH HHS DP2 GM123485
Abstract
PubMed holds no abstract for this paper.
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AlgorithmsArtificial IntelligenceReproducibility of Results
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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.