A program fully designed for healthcare professionals, entrepreneurs and qualified candidates from Science, Engineering and related disciplines interested in focussing their career towards this area

ARTIFICIAL INTELLIGENCE IN HEALTHCARE

Master de Formación Permanente in Artificial Intelligence in Healthcare
5th Edition. In English. Fully online

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Presentation

Master in Artificial Intelligence In Healthcare

The Master in Artificial Intelligence in Healthcare aims to provide comprehensive training in Artificial Intelligence in Healthcare diagnostic and decision-making.

PROGRAM OBJECTIVES:

After finishing the program you will:

Understand the foundations of Machine Learning and how it can enhance decision-making in a Healthcare context.
Have a deep knowledge of the uses and applications of Artificial Intelligence for Healthcare.
Be able to conceptualize and develop solutions based on Artificial Intelligence using the available tools.
Understand the Ethical, Legal, Economic, and Social implications of the use of AI in Healthcare.

5th Edition. In English. Fully Online.

What do we offer?

Master in Artificial Intelligence in Healthcare

TRAINING COMPATIBLE WITH YOUR WORK

Our Master de Formación Permanente allows you to make your training COMPATIBLE WITH YOUR WORK thanks to an innovative learning methodology. Flexible exams.

SOUND PREPARATION

A SOUND PREPARATION for a total of 60 ECTS credits, which allows to cover in depth all the concepts and applications. Master designed for health professionals. No programming knowledge required.

METHODOLOGY

A METHODOLOGY focussed on practice and context, using cases, real situations and technological tools that allow you to learn from the beginning. The master combines prerecorded videos and live sessions with practical cases.

UPDATED CURRICULUM

An UPDATED CURRICULUM, which ensures that our students are obtaining the latest knowledge in line with the trends and demands of Society.

OUTSTANDING PROFESSORS

We have arranged a team of OUTSTANDING PROFESSORS with hands-on experience in the design of Artificial Intelligence in Medicine.

COMMUNITY AND ENVIRONMENT

We develop a COMMUNITY AND ENVIRONMENT that allows students to keep in contact with the professional sector, with seminars and activities to enrich your training experience.

PROFESSIONAL DEVELOPMENT PLAN

We will help you to design your PROFESSIONAL DEVELOPMENT PLAN to exploit at its most your talent and knowledge.

UNIVERSITY OF ALCALÁ

Study a master propio program at the UNIVERSITY OF ALCALA, one of the best Universities in Europe.

Venue

FULLY ONLINE

SCHEDULE

May 2023 - March 2024
Enrollment open until April, 2023

Fee

5,900 €
Scholarships and installment payment option available

Candidate profile

Master in Artificial Intelligence in Healthcare

Doctors and other professionals in Healthcare and related sciences such as Pharmaceutics or Biomedical Sciences as well as other qualified candidates interested in developing AI products or services in Healthcare.

Program

Master in Artificial Intelligence in Healthcare

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Foundations of Artificial Intelligence and Machine Learning
Supervised Learning
Unsupervised and semi-supervised Learning
Reinforced Learning

MACHINE LEARNING AND BIOMEDICAL DATA

Crowdsourced Data, Biomedical Repositories and Public Data
AI in Drug Discovery and Testing
AI for Precision Medicine
Management of Omics Data

AI IN MEDICAL IMAGING DIAGNOSIS

Machine Learning in CT/MR, X-ray and Ultrasound images
Smart Hanging Protocols and PACS
AI in Radiotherapy Planning
Patient-centered diagnosis and performance measurement

AI IN HEALTHCARE MANAGEMENT

Wired Hospitals
Predictive Management and Smart Schedulling
Data Governance, Privacy and Accessibility
Ethics and Regulatory Issues

AI IN MEDICAL TELE ASSISTANCE

Virtual Healthcare Assistants
Natural Language Processing
Video and Speech Recognition Techniques
Interpretability and explainable AI

AI-BASED BUSINESS MODELS

Hybrid human-machine teams
Process re-design
Governance of AI and Ethics
Business cases

COGNITIVE SYSTEMS IN HEALTHCARE

IBM Watson Health, Merge Cardio™, Merge Hemo™
Merge Unity™, Merge CADstream®
Merge RISTM, MarketScan®
Merge PACS™ and others

DEEP LEARNING

Feedforward Neural Networks
Convolutional Networks
Sequential Networks
Generative Adversarial Networks

MASTER’S THESIS

Independent research paper performed by the student on one of the topics of the Master. The paper needs to be presented and defended against a Committee at the end of the Master

Lecturers

The professors of the Master in Artificial Intelligence in Healthcare are a group of professionals with hands-on experience in the application of Artificial Intelligence in Medicine

Tenured Associate Professor of Economics (Finance) and of Computer Science (Artificial Intelligence). Fulbright Visiting Scholar in several US Universities and consultant for several Spanish Fortune 500 companies and for the Government. He has authored more than 100 publications and has lectured in the USA, Asia and Latin America. Director of the Laboratory of Computational Finance and Head of the Chair in Big Data and Predictive Analytics in Banking of the University of Alcalá.

Ignacio Olmeda, Ph.D.

Director, UAH

Juan Andres Aviles is a Telecommunications Engineer from the Polytechnic University of Valencia. He has more than 25 years of experience in the Information Technology sector, mainly at IBM Spain. Since his beginnings in the sector, he has always been associated with new technologies and innovation. He currently holds a position as technical director for Spain, Portugal and Greece, leading a team of IT architects with a focus on Industrial solutions, cognitive solutions and blockchain.

Juan Avilés

Lecturer, IBM

Biomedical engineer specialized in medical image analysis through AI techniques. She completed her master's thesis in cardiac MRI segmentation based on multi-atlas registration and radiomics. With experience in the biomedical research area, she has worked on investigation projects for hospitals such as Barcelona’s Clinic hospital through the IDIBAPS platform. Currently, she works as a Power Systems Technical Specialist at IBM

Sara Andrés Caballero

Lecturer, IBM

Computer Scientist specialized in AI research and Data Analytics. He has a master’s degree in Big Data, and an expert program in Deep Learning. He works at Altran "World Class Center for Analytics" (Tessella) since 2015 where now at days he leads the AI R&D in the Spanish division.

Daniel Martínez

Lecturer

He studied Physics at the Autonomous University of Madrid and an MSc. in Mathematical Modeling and Scientific Computing from the University of Oxford. He worked for 2 years with IBM Research in research projects in machine learning and cognitive systems. He currently works as Chief Data Scientist in the IBM Services team in Spain, leading various analytics projects, and bringing his approach to different AI initiatives. He is the author of two patents in cognitive systems.

David Kremer

Lecturer, IBM

Physics specialized in quantum computing. Joined the Microsoft Quantum Docs team. She is currently working on writing the documentation for Q # and Azure Quantum. She studied theoretical physics at the Complutense University and a master's degree in Quantum Physics at the University of Innsbruck (Austria).

Sonia López

Lecturer, Microsoft

Graduated in Computer Engineering and Business Administration and Management is a specialist in data systems, she has been part of the WomenCEO association since 2018. He has worked at IBM since 2017 with a focus on the design of data storage solutions for public and private institutions, leads IBM's relationship with the URJC University of Madrid as IBM University ambassador.

Cristina Gil Ortiz

Lecturer, IBM

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University of Alcalá

Contact

masteraihealth@uah.es

UNIVERSIDAD DE ALCALÁ

Madrid (España)