By precisely analysing complicated data from laboratory tests, artificial intelligence (AI) is improving diagnostic accuracy, decreasing mistakes, and increasing reliability, all of which are dramatically changing the field of laboratory medicine. It accelerates data processing, making it possible to spot trends and abnormalities in test results more quickly. This facilitates quicker patient care decision making. AI improves patient outcomes and treatment efficacy by personalising medicine based on unique patient data. By automating repetitive procedures, it optimises laboratory workflows, freeing up healthcare personnel to concentrate on more complicated situations while also optimising productivity. AI is also vital to predictive analytics, which predicts the course and results of diseases and makes early intervention possible. Additionally, AI facilitates drug discovery by predicting possible drug candidates and effectively studying molecular interactions. In general, artificial intelligence in laboratory medicine is transforming healthcare through enhanced diagnosis, customised treatment plans, and increased operational efficiency in lab settings. The objective of the present review is to summarise the transformative impact of Artificial Intelligence in laboratory medicine.
Wickramasekera et al. (Fri,) studied this question.
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