Objectives of Programme's Learning Outcomes

• Describe, organise, analyse and prioritise the phenomena observed in the medical field
• Understand the expression of biological realities in absolute or relative terms, the orders of magnitude, proportions and probability
• Understand and apply mathematical translations of large models and biological phenomena through abstract reasoning
• Understand and use different graphical representations of numerical values and their relationships
• Perceive spatial distribution, and understand two- and three-dimensional representations and interconvert them
• Understand the chronology of a phenomenon and master the time scales and their representations
• Control the molecular, morphological and functional approaches of normal and pathological conditions
• Integrate concepts from these different approaches in a complex biomedical problem
• Explain the relationships between molecular, morphological and functional changes and pathological conditions, their clinical signs and symptoms
• Demonstrate interpersonal skills developed within a medical context
• Use a rich vocabulary accurately linking concepts and words, and understand the prefixes and suffixes used in the medical field
• Summarise, explain, and argue
• Listen and empathise
• Work in a team
• Develop reasoning skills
• Understand and apply the basic principles of reasoning (obtaining data, analysis, synthesis, comparison, the rule of three, syllogism, analogy, Boolean logic, etc.)
• Understand and apply Bayesian inference
• Use a hypothesis in inductive, deductive or abductive reasoning
• Develop critical thinking, test and monitor conclusions understanding the domain of validity, and explore alternative hypotheses
• Integrate reasoning in clinical approaches
• Manage doubt and uncertainty
• Manage resources
• Manage time
• Prioritise
• Manage their studies
• Have developed an interest for medicine
• Locate scientific information efficiently
• Compare different sources of information
• Be a responsible practitioner
• Integrate a human dimension in their approach to the patient
• Respect the diversity of gender, culture and opinion
• Integrate an ethical dimension in their reasoning
• Be loyal to the facts, to the team, to intellectual property, confidentiality, etc.

Learning Outcomes of UE

This teaching unit aims to (i) provide participants with a high-level understanding of AI currently prevalent in the healthcare sector so that they can critically assess the contribution of various AI solutions to their work environments, reflect on AI proposals for the healthcare sector, adapt their working practices to facilitate the integration of AI and propose new cases that can be developed by  AI; and (ii) to develop soft skills useful for the training of the doctor, to give the student the tools for a betterself-knowledge, an ability to adapt to different situations, to communicate, to work in a team, to organize his work and to apprehend ethical issues.

UE Content: description and pedagogical relevance

The learning activity "Artificial Intelligence" will consist of:
*             Introduction to AI
*             Expert systems and their role in the healthcare sector
*             Introduction to machine learning
*             Machine learning in the healthcare sector
*             Introduction to machine vision
*             Image recognition in the healthcare sector

The learning activity "Soft skills" will consist of:
*             Self-knowledge and initiative
*             Ability to adapt to different situations
*             Communication
*             Teamwork
*             Work organization
*             Work ethic
All of these modules aim to stimulate the creativity and entrepreneurial spirit of learners, allowing them a reasoned approach to AI and the development of efficient and ethical working methods.

Prior Experience

Good knowledge of English and a basic knowledge of statistics