ArticleFrontiers in artificial intelligence2021
InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance.
Article in Frontiers in artificial intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Beyond black boxes: using explainable causal artificial intelligence to separate signal from noise in pharmacovigilance.International journal of clinical pharmacy · 2026Article
- Critique of impure reason: Unveiling the reasoning behaviour of medical large language models.eLife · 2025Article
- Evaluating the effectiveness of AI-enhanced "One Body, Two Wings" pharmacovigilance models in China: a nationwide survey on medication safety and risk management.Frontiers in health services · 2025Article
- Artificial intelligence in pharmacovigilance: advancing drug safety monitoring and regulatory integration.Therapeutic advances in drug safety · 2025Review
- The applications and advances of artificial intelligence in drug regulation: A global perspective.Acta pharmaceutica Sinica. B · 2025Review
- Augmenting interpretable models with large language models during training.Nature communications · 2023Article
- Bidirectional Encoder Representations from Transformers-like large language models in patient safety and pharmacovigilance: A comprehensive assessment of causal inference implications.Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Applications of transformer-based language models in bioinformatics: a survey.Bioinformatics advances · 2023Review
- Probabilistic coherence, logical consistency, and Bayesian learning: Neural language models as epistemic agents.PloS one · 2023Article
- NeuroCORD: A Language Model to Facilitate COVID-19-Associated Neurological Disorder Studies.International journal of environmental research and public health · 2022Article
- Natural language processing in toxicology: Delineating adverse outcome pathways and guiding the application of new approach methodologies.Biomaterials and biosystems · 2022Article
- "Artificial Intelligence" for Pharmacovigilance: Ready for Prime Time?Drug safety · 2022Article
- Leveraging Machine Learning to Facilitate Individual Case Causality Assessment of Adverse Drug Reactions.Drug safety · 2022Article
- Machine Learning in Causal Inference: Application in Pharmacovigilance.Drug safety · 2022Review
- Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review.Drug safety · 2022Article
- DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox.Frontiers in artificial intelligence · 2022Article
Corrections and comments
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Authors and funding
5 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.