Speaker : Damien Gruson 1,2
1Department of Clinical Biochemistry, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium.
2Pôle de recherche en Endocrinologie, Diabète et Nutrition, Institut de Recherche Expérimentale et Clinique, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium.
April 26, 2021 – 1PM (English)
Laboratory medicine is continuously integrating innovation to support clinical decision, disease monitoring and patient safety. Innovation has an enormous potential to transform healthcare systems and laboratory medicine, and can provide to healthcare workforces the insight and tools to offer higher quality of care to more patients as well as improving health outcomes with fewer resources. With the current innovation comes also the power of data and Artificial intelligence (AI). Data science and AI are already revolutionizing our citizen and daily life and the way institutions, cities, exchanges and businesses operate. AI is a broad term that combines computation with sophisticated mathematical models and in turn allows the development of complex algorithms which are capable to simulate human intelligence such as problem solving and learning. AI and data science are rapidly developing in healthcare, as is their translation into laboratory medicine. AI has emerged as a promising tool in laboratory medicine which is aimed in augmenting the effectiveness and support clinical decision making. Even if the integration of AI and laboratory medicine could appear as an accelerator of precision care, several challenges still need to be addressed.