Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges
Heying Xie , Yin Jia , Shanrong Liu
Interdisciplinary Medicine ›› 2024, Vol. 2 ›› Issue (3) : e20230056
Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges
Artificial intelligence (AI)-driven analysis of comprehensive clinical parameters is bringing about a significant transformation in traditional routine clinical laboratory testing. This transformation impacts the prediction, prevention, diagnosis, and prognosis of human diseases. AI possesses the capability to efficiently analyze and process vast and intricate datasets, thereby facilitating the development of diverse and efficient diagnostic or predictive models. This advancement is fueling significant improvements in laboratory quality, automation, and the accuracy of diagnoses. In this context, we conducted a thorough review and discussion on the progression of AI applications in clinical laboratory medicine, encompassing advancements, implementation, and challenges. Our conclusion underscores that integrating AI into clinical laboratory testing will notably propel personalized precision medicine forward and enhance diagnostic accuracy, especially benefiting patients for whom accurate diagnoses are elusive through traditional laboratory testing systems.
artificial intelligence / big data / clinical laboratory medicine
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2024 The Authors. Interdisciplinary Medicine published by Wiley-VCH GmbH on behalf of Nanfang Hospital, Southern Medical University.
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