Deseño de produtos e servizos intelixentes no sector biomédico
Code
V04M192V01209
Study programme
Máster Universitario en Ingeniería Biomédica
Descriptors
Total Cr.
Choose
Year
Quadmester
4.5
Optional
1st
2nd
Teaching language
Spanish
Galician
Prerequisites
Coordinator
Comesaña Campos, Alberto
E-mail
acomesana@uvigo.es
Lecturers
Comesaña Campos, Alberto
Web
General description
This subject, developed in the framework of advanced Biomedical Engineering studies, is aimed at training its students in the field of artificial intelligence applied to the conceptualization, design and implementation of intelligent clinical decision support systems, understood and applied both in health products and diagnostic services.
To do this the teaching approach will prioritize, on the one hand, the understanding of fundamental theoretical concepts that underlie artificial intelligence models, both those based on symbolic reasoning and those based on statistical learning, and, on the other hand, the practical realization of these articulated models through the design and programming of the information flows of the corresponding algorithms.
The contents will cover essential knowledge related with the concept of intelligent system, delving into its meaning and variants, which will entail a methodical exploration of the inherent logics and guiding principles of the different inferential processes, to subsequently comment on and develop the implementation of intelligent systems through different approaches that will cover symbolic and statistical inferential processes.
Due to the inherent particularity of the theoretical contents of the subject, a gradual and progressive understanding will be promoted, supported by the hermeneutical debate, of the interpretation of propositional and first-order logic, of the concept of uncertainty and risk, of the inferential grounds in the learning techniques, of the distinction and applicability of the different paradigms of reasoning, of the meaning within the clinical decision of the predictive techniques of artificial intelligence and, in general, of the conceptual design of coherent, robust and reliable intelligent systems.
All this is aimed at acquiring, understanding and applying the knowledge and cognitive resources necessary to develop the ability to create intelligent system schemes that can be recreated in products and services within the biomedical sector with proven predictive and preventive capacity and endowed with reasoning capacity and decision. The student of this subject, at the end of the course, must demonstrate the necessary competence, both theoretical and practical, to create an intelligent product or service that solves a real complex problem within the field of biomedical engineering, which implies facing a problematic issues with a multiplicity influence variables, permanent presence of uncertainty in its traditional variants, a relevant associated risk and, above all, the absence of a valid analytical, experimental or numerical model for its resolution.
Finally, in addition to the skills and abilities already exposed, the subject will include transversal trainings in data processing, programming fundamentals, collection, analysis and presentation of clinical results and development of proofs of concept, as well as other knowledge implicit in the study of intelligent systems.
