{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T09:35:45Z","timestamp":1769852145417,"version":"3.49.0"},"reference-count":26,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T00:00:00Z","timestamp":1644364800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Intelligent Systems"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:sec><jats:label\/><jats:p>Laboratory medicine plays an important role in clinical diagnosis. However, no laboratory\u2010based artificial intelligence (AI) diagnostic system has been applied in current clinical practice due to the lack of robustness and interpretability. Although many attempts have been made, it is still difficult for doctors to adopt the existing machine learning (ML) patterns in interpreting laboratory (lab) big data. Here, a knowledge\u2010and\u2010data\u2010driven laboratory diagnostic system is developed, termed AI\u2010based Lab tEst tO diagNosis (AI LEON), by integrating an innovative knowledge graph analysis framework and \u201cmixed XGboost and Genetic Algorithm (MiXG)\u201d technique to simulate the doctor's laboratory\u2010based diagnosis. To establish AI LEON, we included 89\u2009116\u2009949 laboratory data and 10\u2009423\u2009581 diagnosis data points from 730\u2009113 participants. Among them, 686\u2009626 participants were recruited for training and validating purposes with the remaining for testing purposes. AI LEON automatically identified and analyzed 2071 lab indexes, resulting in multiple disease recommendations that involved 441 common diseases in ten organ systems. AI LEON exhibited outstanding transparency and interpretability in three universal clinical application scenarios and outperformed human physicians in interpreting lab reports. AI LEON is an advanced intelligent system that enables a comprehensive interpretation of lab big data, which substantially improves the clinical diagnosis.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202100204","type":"journal-article","created":{"date-parts":[[2022,2,10]],"date-time":"2022-02-10T00:48:52Z","timestamp":1644454132000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Establishment of a Knowledge\u2010and\u2010Data\u2010Driven Artificial Intelligence System with Robustness and Interpretability in Laboratory Medicine"],"prefix":"10.1002","volume":"4","author":[{"given":"Beilei","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Laboratory Diagnostics Changhai Hospital Navy Military Medical University  168 Changhai Road Shanghai 200433 China"},{"name":"Department of Marine Biomedicine and Polar Medicine Naval Special Medical Center  880 Xiangyin Road Shanghai 200433 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