A training programme designed to equip participants with fundamental competencies in Artificial Intelligence (AI) applied to healthcare, combining data science foundations with practical applications and innovative solutions. The programme promotes the transformation of diagnostics, treatments and healthcare management through user-centred technology.
By the end of the programme, participants will be able to understand the basic principles of data science and Artificial Intelligence applied to healthcare, identifying, analysing and addressing ethical issues and risks associated with the implementation of AI solutions in the sector. Participants will be equipped to develop user-centred strategies, models and innovative solutions applicable to clinical and organisational contexts, as well as to implement and manage AI projects in healthcare, fostering interdisciplinary collaboration and good practices in technological integration. In addition, participants will be able to apply the acquired knowledge to practical projects and case studies, anticipating emerging trends and supporting evidence-based decision-making.
Fundamentals of Artificial Intelligence and data science applied to healthcare;
Machine Learning, including supervised and unsupervised learning, in clinical contexts;
Natural Language Processing (NLP) and its applications in healthcare data;
Predictive models and clinical decision support systems;
Strategies for implementing AI projects in healthcare organisations;
Risk assessment, ethics and AI governance;
Case studies and practical applications of AI in diagnosis, treatment and healthcare management;
Development of user-centred solutions and collaborative innovation in digital health.
The awarding of 4 ECTS requires a positive result in the final assessment.
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