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Related Experiment Video

Updated: Nov 28, 2025

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

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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

Julia Amann1, Alessandro Blasimme2, Effy Vayena2

  • 1Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Hottingerstrasse 10, 8092, Zurich, Switzerland. julia.amann@hest.ethz.ch.

BMC Medical Informatics and Decision Making
|December 1, 2020
PubMed
Summary

Explainability in artificial intelligence (AI) for healthcare is crucial. Lack of transparency in AI decision-making systems threatens ethical medical practice and patient well-being.

Failed At:

2026-06-19T13:38:50.800615+00:00

Keywords:
Artificial intelligenceClinical decision supportExplainabilityInterpretabilityMachine learning

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