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Enterprise AI Assurance Framework for Biomedical Diagnostics: A Human-Centered Approach for Trustworthy, Explainable, and Safe Artificial Intelligence Systems

2026-08-14

Abstract excerpt

Artificial intelligence (AI) has demonstrated significant potential for transforming biomedical diagnostics through advanced pattern recognition, predictive modeling, and clinical decision support. However, the adoption of AI systems in healthcare remains challenged by limitations associated with explainability, reliability, safety, fairness, human confidence, and continuous operational monitoring. Current AI eval...

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Literature Corpus work: a5650062-e873-5a1e-892b-a80815c4c2d0
DOI: 10.20944/preprints202608.0958.v1

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