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  • Hours 25h of dedication
  • Dates April 24 - June 11, 2023
  • Limit Deadline for application: April 14, 2023
  • Online 100% online
  • Places Limited places

Aplicaciones anidadas

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ALIANZA ESTRATÉGICA sermas

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

Esta unión nace sermas

This union was created with the aim of sharing the challenges and opportunities of Artificial Intelligence (AI) with professionals in the healthcare sector. goal .

In this case, this course focused on Smart Health Awareness-Claves de la aplicación de la Inteligencia Artificial en salud (ES-NONNI-00526) 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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IBM logo

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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 sermas

PROGRAMME AND CONTENTS

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Methodology: model intensive of alternate weeks, with recorded sessions to be studied autonomously.

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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 of generation of 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 the law and legal responsibility are necessary; an ethical perspective is essential.

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Real cases in the health sector
(8 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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DESCARGA LA PROGRAMACIÓN COMPLETAsermas-ok

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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: healthcare professionals and health managers who wish to learn about the present and future of Artificial Intelligence (AI) in their sector.

The deadline for apply for the Admissions Office to the course ends on April 14, 2023. The candidate should fill in the form that appears in the following section. Applications will be resolved on April 18, 2023, the same day all candidates will be notified of the decision.

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

Participants who can prove that they have attended 80% of the sessions will obtain a certification from the University of Navarra equivalent to 1 ECTS credit.

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Matrícula cerrada

 

enrollment closed

home-contacto Assumpta Chacón Moreno

 

Assumpta Chacón Moreno

Professional Programs
University of Navarra

Assumpta Chacón Moreno

 

31009 Pamplona, Spain