The Course in Artificial Intelligence in Healthcare is a new training initiative by NOVA NSPH that addresses Artificial Intelligence (AI) as one of the most promising innovations in the health sector. It proposes an interdisciplinary approach that combines AI fundamentals with practical applications in this sector.
Participants will have the opportunity to explore emerging technologies that are already shaping the future of healthcare, with an eminently practical approach that will ensure:
To all healthcare professionals, especially Managers and Data Science specialists who wish to deepen the concepts and applicability of AI, making it capable of transforming diagnoses, treatments and healthcare management.

Ana Brito | António Coelho | Carina Albuquerque | Cristina Santos | David Belo | Jorge Epifâneo | Nuno Henriques | Pedro Gouveia | Tiago Taveira Gomes
“Take advantage of the potential of Artificial Intelligence in the healthcare revolution with our new Course! Deepen knowledge in the areas of Data Science, Machine Learning, Natural Language Processing and much more.
Participate in projects, ethical discussions, and practical experiences to prepare for a future at the forefront of healthcare innovation.
Join us and become a leader in healthcare solutions powered by Artificial Intelligence. Be part of the future of healthcare!“
Teresa Magalhães (Course Coordinator)

Foundations and Context of AI in Health
Principles of Data Science and Big Data in Healthcare
Artificial Intelligence in Healthcare
Data-Driven Decision-Making
AI Techniques and Models
Introduction to Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Speech and Voice Recognition
GeoAI
Edge AI
Federated Learning
Governance, Regulation and Risk Management
Ethical and Social Considerations of AI in Healthcare
AI Regulation in Healthcare
Leadership, Strategy and Implementation of AI in Health
User-Centred Design
Change Management and Leadership in AI Implementation
Technology Adoption in Healthcare – Strategies and Models
Evaluation, Funding and Sustainability of AI Solutions in Health
Practical Application and Final Assessment
Group Project
Final Exam
Final Project Presentations
Total: 4 ECTS
Sessions
Mondays and Thursdays | 18:00 – 21:00
Applications for this course are currently closed.
This course was supported by PRR scholarships in the 2024/2025 academic year.
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Contact us for more information