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Related Experiment Video

Updated: Jun 23, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Making the grade: assuring trustworthiness in evidence.

¹Joint Center for Bioethics, Department of Family and Community Medicine, University of Toronto. ross.upshur@sunnybrook.ca

Perspectives in Biology and Medicine

|April 28, 2009

Summary

Evidence-based medicine (EBM) faces ongoing challenges despite its advancements. New developments reveal EBM

Area of Science:

Medical Research Methodology
Philosophy of Science
Health Policy

Background:

Evidence-based medicine (EBM) is the dominant paradigm in contemporary healthcare.
Despite its widespread adoption, criticisms and areas for improvement persist within EBM.
Recent scholarly work and guideline development groups (e.g., GRADE) have sought to refine EBM's scientific underpinnings.

Purpose of the Study:

To critically examine recent developments in the scientific basis and justification of Evidence-based medicine (EBM).
To analyze the philosophical and methodological frameworks underpinning EBM, particularly concerning the GRADE Working Group's contributions.
To identify the need for enhanced trustworthiness and integrity in health research to support EBM.

Main Methods:

Related Experiment Videos

Last Updated: Jun 23, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Critical review of recent articulations of EBM's scientific basis (Karanicolas, Kunz, and Guyatt, 2008).

Analysis of the GRADE Working Group's approach to evaluating medical literature and recommendations.

Philosophical examination of the normative language and underlying assumptions in EBM.

Main Results:

The scientific basis of EBM, as articulated by Karanicolas et al., relies more on philosophical assumptions than empirical scientific status.
The GRADE Working Group's framework for evidence appraisal depends significantly on credibility, consensus, and trust.
Current justifications for EBM's authority are not fully secured by scientific rigor alone.

Conclusions:

Significant work is required to bolster the trustworthiness and integrity of the clinical research literature.
The philosophical foundations of EBM need further articulation and examination.
Establishing robust trust in health research is crucial for the continued validity and application of Evidence-based medicine (EBM).