工作流程
计算机科学
医学诊断
临床实习
人工智能应用
数据科学
人工智能
医学
病理
数据库
家庭医学
作者
Dustin R. Bunch,Thomas J S Durant,Joseph W. Rudolf
标识
DOI:10.1016/j.cll.2022.09.005
摘要
Artificial intelligence (AI) applications are an area of active investigation in clinical chemistry. Numerous publications have demonstrated the promise of AI across all phases of testing including preanalytic, analytic, and postanalytic phases; this includes novel methods for detecting common specimen collection errors, predicting laboratory results and diagnoses, and enhancing autoverification workflows. Although AI applications pose several ethical and operational challenges, these technologies are expected to transform the practice of the clinical chemistry laboratory in the near future.
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