AI Checklists Stop at the Model: Why Semantic Governance in Clinical Labs Ends Before Deployment
A new Journal of Medical Systems commentary argues that laboratory-aware AI checklists stop at the model, leaving semantic stability after ...
A new Journal of Medical Systems commentary argues that laboratory-aware AI checklists stop at the model, leaving semantic stability after ...
A human-AI collaborative workflow developed at Seoul National University Hospital improved SNOMED CT mapping accuracy for bilingual clinical text while ...
New research in npj Ocean Sustainability argues that aligning marine spatial data infrastructures with FAIR principles and open science is ...
A systematic review in Knowledge and Information Systems shows that ontology-driven semantic data management can align fragmented healthcare standards, enable ...
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© 2025 Scienmag - Science Magazine