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  • Hours 25h of dedication
  • Dates February 19 - April 14, 2024
  • Limit Deadline for application: February 09, 2024
  • Online 100% online
  • Places Limited places

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ALIANZA ESTRATÉGICA SEOR

STRATEGIC ALLIANCE
SEOR, MERCK, IBM AND TECNUN, THE SCHOOL OF ENGINEERING OF THE UNIVERSITY OF NAVARRA

intro SEOR

This union was born with the goal to share with SEOR professionals the challenges and opportunities of Artificial Intelligence (AI).

In this case, this course focused on Smart Health Awareness-Claves de la aplicación de la Inteligencia Artificial en salud is aimed at healthcare professionals and health managers who wish to learn about the present and future of Artificial Intelligence (AI) in their sector. 

 

 

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SEOR
 

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Learning objectives

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01.

At the end of this course, participants will understand how Big Data and Artificial Intelligence technologies, through different methods and tools, are revolutionising the healthcare sector.

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02.

The case study sessions are designed to inspire and enlighten participants on the possibilities of development in their different professional environments.

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PROGRAMA Y CONTENIDOS Scs

PROGRAMME AND CONTENTS

100 % online
Methodology: model alternate weeks, with recorded sessions that will be studied autonomously.

DESCARGA LA PROGRAMACIÓN COMPLETA seor

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Introduction and Strategy
(1 session)

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Through some examples and experiences we will learn about the challenges and opportunities offered by Artificial Intelligence in a context of digital transformation to add value in the care and treatment of patients and diseases.

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Data Culture
(1 session)

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Making quick and accurate decisions requires quality information. The collection of data; its organisation; analysis and visualisation, requires a transition towards a "data culture"; entering the virtuous circle of Big Data & Business Analytics.

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Data Science
(2 sessions)

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It is common to visualize the technological development in healthcare through different devices -in what has been called IoT (Internet of Things: telemetry bracelets, facial recognition, voice recognition, etc.)- or some applications: robot assistants, image recognition or Natural Language Processing (NLP). These elements are a continuous source to generate data. Discovering the scope of the science of data in the field of healthcare requires us to understand how machine learning or deep learning algorithms can help us to develop predictive models and to generate autonomous systems that learn progressively. The application of Artificial Intelligence (AI) cannot allow us to get there sooner and faster.

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Ethics and Health
(1 session)

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Behind the data and the devices that obtain them there are people. Behind the design of some mathematical algorithms there may be biases. Respect for current legislation and legal responsibility are necessary; an ethical perspective is essential.

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Real cases in the health sector
(9 sessions)

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goal With the aim of inspiring and disseminating the application of Artificial Intelligence (AI) to the different processes in the health sector, participants will learn first-hand about some real cases of application of technologies where significant progress has been made.

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Academic staff

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The team of lecturers is made up of AI specialists, company managers, academics and practitioners of recognised professional prestige and proven track record in the field subject , who transmit not only theoretical knowledge, but also their own experience in practical application, providing solutions in the health sector.

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application,
enrollment Y
CERTIFICATION


 

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The profile of the participants is: SEOR and SEFM members who wish to learn about the present and future of Artificial Intelligence (AI) in their sector.

The deadline for apply for admission to the course is February 09, 2024. The candidate should fill in the form that appears in the following section. Applications will be resolved on February 15, 2024, the same day all candidates will be notified of the decision.

The admissions process is supervised by a joint committee of the SEOR, Merck, IBM and the University of Navarra, which will evaluate both academic criteria and the healthcare impact of those interested in attending to the training.

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Matrícula cerrada

 

enrollment closed

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Assumpta Chacón Moreno

Professional Programs
University of Navarra

Assumpta Chacón Moreno

 

31009 Pamplona, Spain