Alignment plausibility—evidence that an AI system's values, training, and oversight cohere with safe positive health outcomes—should be the regulatory analogue of biological plausibility for LLMs in healthcare.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
CONDITIONAL 2representative citing papers
Production semantic search over 166M clinical notes achieves sub-second latency at ~$4k/month and recovers 98% of genetic-disease patients versus ≤75% by ICD-10 codes.
citing papers explorer
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Alignment Plausibility: A New Standard for Assuring AI in Healthcare
Alignment plausibility—evidence that an AI system's values, training, and oversight cohere with safe positive health outcomes—should be the regulatory analogue of biological plausibility for LLMs in healthcare.
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Health System Scale Semantic Search Across Unstructured Clinical Notes
Production semantic search over 166M clinical notes achieves sub-second latency at ~$4k/month and recovers 98% of genetic-disease patients versus ≤75% by ICD-10 codes.