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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

11th Edition. November 2024. In English. Fully online

Master de Formación Permanente in Artificial Intelligence in Healthcare
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.

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

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.

11th Edition. In English. Fully Online.

Master in Artificial Intelligence and Deep Learning - Universidad of Alcalá - UAH
What do we offer?

Master in Artificial Intelligence in Healthcare

COMPATIBLE WITH WORK

The Master's degree is compatible with a professional activity. Contents and evaluations can be accessed through an e-learning platform that is accessible 24/7, allowing the student to follow the program at their own place

SOUND PREPARATION

A sound preparation with 60 ECTS (European Credit Transfer System) which allows to cover in depth all the concepts and applications. Master designed for health professionals. No programming knowledge required

METHODOLOGY

Online Classes, with pre-recorded and on live sessions scheduled on selected dates.The program is modularized in weeks, during each of when only one subject is taught

UPDATED CURRICULUM

Which ensures that our students are obtaining the latest knowledge in line with the trends and demands of society

OUTSTANDING PROFESSORS

Lecturers with hands-on experience in the design of Artificial Intelligence in Medicine.

COMMUNITY AND ENVIRONMENT

We provide an environment that allows students to enrich the training experience.

SPECIALIZATION

Specialize in the sector with the greatest growth in this area of AI

UNIVERSITY OF ALCALÁ

One of the best Universities in Europe and distinguished with five stars, the highest rating awarded by QS World University Rankings
Candidate profile

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.
87
Students
33
Countries
10
Editions
Program

Master in Artificial Intelligence in Healthcare

ARTIFICIAL INTELLIGENCE AND DEEP LEARNING

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

MACHINE LEARNING AND BIOMEDICAL DATA

  • Biomedical Repositories and Public Data
  • Management of Omics Data

AI IN MEDICAL IMAGING DIAGNOSIS

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

AI IN HEALTHCARE MANAGEMENT AND BUSINESS MODELS

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

AI IN TELEMEDICINE

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

AI IN PHARMA AND DRUG DESIGN

  • Drug discovery and development applications with Machine Learning
  • Large Molecule Drug discovery
  • Applications of ML in the Pharmaceutical sector

SEMINARS

  • Seminars on applications of AI to the fields of medicine

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

Francisco Soler has a PhD in Computer Science in AI and a Bachelor in Mathematics. Professor in different Masters in Deep Learning area. It has more than 150 publications in prestigious international conferences and journals. Around private companies, he led the creation of Big Data-Analytics area in the technological consultancy Altran, a company specialized in Analytics and AI, he is currently part of the Artificial Intelligence division at Accenture as AI Senior Manager in Spain, Portugal and Israel.
Francisco Soler, Ph.D
Lecturer, Accenture

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

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

Tugay Önal is a Medical Doctor with a diverse background in healthcare, and he is passionate about advancing healthcare through the integration of artificial intelligence. Having graduated from Kocaeli University School of Medicine, Tugay worked as a chief physician, overseeing departments such as Public Health, Mental Health, and Health Improvement in Istanbul
Tugay Önal
Lecturer, Pfizer

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
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