ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2021
Problems in the deployment of machine-learned models in health care.
Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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
36 citing papers in PubMed.
- Observational
- EfficientNet-B0-Based Screening of WBC-Diff Scattergram Images for Hematological Abnormalities.Cancer medicine · 2026Article
- Mapping AI startup investment and innovation in healthcare using a five-tier AI systems complexity framework.NPJ digital medicine · 2026Article
- Article
- Machine Learning-Based Prediction of Three-Year Heart Failure and Mortality After Premature Ventricular Contraction Ablation.Diagnostics (Basel, Switzerland) · 2025Article
- Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models.JAMA network open · 2025Article
- Review
- Development and usability testing of a depth camera-based web application for functionally relevant foot kinematics analysis.Frontiers in medical technology · 2025Article
- International multicenter validation of AI-driven ultrasound detection of ovarian cancer.Nature medicine · 2025Article
- Forecasting the course of bipolar disorder using rest-activity rhythms: Protocol for a multi-study modelling project.Wellcome open research · 2025Article
- Interpretability of AI race detection model in medical imaging with saliency methods.Computational and structural biotechnology journal · 2025Article
- On Leveraging Machine Learning in Sport Science in the Hypothetico-deductive Framework.Sports medicine - open · 2024Article
- CODI: Enhancing machine learning-based molecular profiling through contextual out-of-distribution integration.PNAS nexus · 2024Article
- Artificial Intelligence Applied to Forced Spirometry in Primary Care.Open respiratory archives · 2024Article
- Ethical Considerations in the Design and Conduct of Clinical Trials of Artificial Intelligence.JAMA network open · 2024Article
- Feature Identification Using Interpretability Machine Learning Predicting Risk Factors for Disease Severity of In-Patients with COVID-19 in South Florida.Diagnostics (Basel, Switzerland) · 2024Article
- Clinical data mining: challenges, opportunities, and recommendations for translational applications.Journal of translational medicine · 2024Review
- Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care.JAMA network open · 2023Article
- Natural language processing system for rapid detection and intervention of mental health crisis chat messages.NPJ digital medicine · 2023Article
- Computational analysis of peripheral blood smears detects disease-associated cytomorphologies.Nature communications · 2023Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.