期刊论文Establishing a comprehensive artificial intelligence lifecycle framework for laboratory medicine and pathology: A series introduction复制

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CA Garcia, KA Reed, E Lantz, P Day…
American journal of …, 2025
academic.oup.com
Objective Despite exponential growth in artificial intelligence (AI) research for laboratory medicine and pathology, a significant gap exists between model development and clinical AI implementation. This article introduces a structured framework, the Clinical AI Readiness Evaluator (CARE), to bridge this gap and support the responsible adoption of AI in clinical laboratory settings. Methods Building upon the Machine Learning Technology Readiness Levels framework, we developed CARE specifically for the clinical laboratory environment …