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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Epistemic causality and evidence-based medicine
Federica Russo1, Jon Williamson
1Philosophy, SECL, University of Kent, Canterbury CT2 7NEF United Kingdom.
This paper proposes interpreting medical causality through the epistemic theory, focusing on appropriate inferences like diagnosis and prognosis. This approach offers an alternative to traditional difference-making or mechanistic views of causation in disease.
Area of Science:
- Philosophy of Medicine
- Causal Inference
Background:
- Causal claims are frequent in biomedicine but often implicit.
- Traditional accounts of causation focus on difference-making or mechanisms.
Purpose of the Study:
- To define the meaning of causal claims specifically within the context of disease.
- To advocate for the epistemic theory as the appropriate framework for medical causality.
Main Methods:
- Philosophical analysis of causation in biomedical contexts.
- Critique of traditional causal accounts (difference-making, mechanistic).
- Argumentation for the epistemic theory of causation.
Main Results:
- Causal claims in medicine should be understood via the epistemic theory.
- The epistemic theory emphasizes appropriate inferences (diagnoses, prognoses) over physical causal relations.
- This interpretation has significant implications for evidence-based causal assessment in medical practice.
Conclusions:
- The epistemic theory provides a more suitable framework for understanding medical causality.
- Adopting the epistemic approach can refine evidence-based causal assessment in healthcare.
- This perspective shifts the focus from physical mechanisms to inferential validity in medical reasoning.
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