Prof. Juan VelasquezUniversity of Chile, Chile
Artificial intelligence as an enabling factor for the future medicine
Since its origins, medicine has been more linked to the cure of diseases than to their prevention. This is due to multiple factors, training of health professionals aimed at curing diseases, lack of quality data, processing capacity, poor multidisciplinary approach, etc. However, this paradigm is changing, focusing on maintaining the health of individuals to avoid diseases, improving social welfare. To achieve this, the new approach proposes that medicine must be Preventive, Participatory, Predictive, and Personalized (4P Medicine). In this talk, we will analyze how artificial intelligence can convincingly contribute to the construction of 4P Medicine, through the processing of key data such as DNA, electronic medical records and environmental variables to which people have been exposed. Here we can find complex data such as computed Tomography images, electroencephalograms, free text in electronic medical records, pharmacological data, etc.
These data have grown exponentially and efforts to improve their quality are already paying off. However, it is no longer possible for a health professional to analyze them to provide a better diagnosis or carry out preventive work on diseases, requiring the formation of multidisciplinary teams to find new solutions to ancient problems, such as health care, where data processing, knowledge extraction and its subsequent parameterization in support systems for medical decision-making are vital to save lives.
In this sense, artificial intelligence, together with new methods for processing complex data and computational resources to process massive data, may be the key to face the current and future challenges to preserve the humanity health.
Dr. Juan D. Velásquez is Full Professor with the Industrial Engineering Department at University of Chile. During his academic life, he has been an adviser for more than 120 reports and theses (master and doctorate), has written more than 150 scientific publications and book chapters, is the author of the book Adaptive Web Site: A Knowledge Extraction from Web Data Approach published by IOS Press in 2008, and is editor-in-chief of the books series Advanced Techniques in Web Intelligence part 1 and 2, published by Springer-Verlang in September, 2010 and 2012. He has been post-doctoral fellow at the Computing Laboratory, University of Oxford, UK, visiting professor at the Center for Collaborative Research, University of Tokyo, Japan and the VSB Ostrava Technical University, Czech Republic, as well as being a guest lecturer in more than 10 countries. In 2009, he was the General Chair of the International Knowledge Engineering System (KES) Conference and in 2018 was General Chair of the International Conference on Web Intelligence held in Santiago de Chile. His research lines are health engineering, data science, web mining and artificial intelligence.
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