apfcbAPFCB eNewscoAPFCB News Volume 2, Issue 1MultidisciplinaryEnglishJan-Jun, 2023NNY20240522ArticlesArtificial intelligence and laboratory medicine: at the crossroads of value ethics and liabilityEnglishY7374Damien Gruson1 Pradeep KumarDabla2EnglishN10.62772/APFCB-News.2023.1.1Laboratory medicine plays a pivotal role in healthcare and provides essential diagnostic information to guide clinical decision-making. Emerging technologies such as next-generation sequencing, liquid biopsies, and omics have transformed diagnostic testing on the way of a more personalized medicine. These technologies enable healthcare professionals to obtain more precise and accurate diagnostic information, which can lead to more targeted therapies. Artificial intelligence (AI) is also revolutionizing laboratory medicine with the potential to leverage value at different levels such as improving patient outcomes, clinical laboratories efficiencies and allocation of resources.Englishhttps://apfcb.org/APFCB_News/abstract?id=7References1619Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future Stroke and Vascular Neurology 2017; 2: doi: 10.1136/svn-2017-000101Wiens J, Saria S, Sendak M, et al. Do no harm: a roadmap for responsible machine learning for health care. Nat Med. 2019; 25:1337and;ndash;1340Waechter, S., Mittelstadt, B., Russell, C.: Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law. W. Va. L. Rev. 123, 735 (2020)Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi. Annual Review of Biomedical Data Science 2021 4:1, 123-144