Advancing Laboratory Medicine Practice With Machine Learning: Swift yet Exact.

ABSTRACT: Machine learning (ML) is currently being widely studied and applied in data analysis and prediction in various fields, including laboratory medicine. To comprehensively evaluate the application of ML in laboratory medicine, we reviewed the literature on ML applications in laboratory medicine published between February 2014 and March 2024. A PubMed search using a search string yielded 779 articles on the topic, among which 144 articles were selected for this review. These articles were analyzed to extract and categorize related fields within laboratory medicine, research objectives, specimen types, data types, ML models, evaluation metrics, and sample sizes. Sankey diagrams and pie charts were used to illustrate the relationships between categories and the proportions within each category.

SUBMITTER: You J 

PROVIDER: S-EPMC11609717 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature