Artificial Intelligence and Soft Skills in the Healthcare Sector 26-27 S1

The course Artificial Intelligence and Soft Skills in the Healthcare Sector aims to:

• 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;
• To develop soft skills useful for the training of a doctor, to give students the tools for a better self-knowledge, an ability to adapt to different situations, to communicate, to work in a team, to organise their work and to apprehend ethical issues.

The “Artificial Intelligence” learning activity will consist of:

• Introduction to AI
• Expert systems and their role in the healthcare sector
• Introduction to machine learning
• Applications of machine learning in healthcare
• Introduction to machine vision
• Image recognition in the healthcare sector

The “Soft Skills” learning activity will consist of:

• Self-awareness and initiative
• Adaptability to different situations
• Communication
• Teamwork
• Work organisation
• Professional ethics

The “Reality-based Challenge” learning activity will consist of:

The work will be organised in international groups. Each group will be assigned a challenge in the form of an anonymised dataset derived from real-world practice. Groups will be required to analyse their data in order to extract clinically relevant insights and to present their work publicly.

All of these modules aim to stimulate learners’ creativity and entrepreneurial mindset, while fostering a thoughtful approach to AI and the development of effective and ethical working practices.

Timetable:

Self-learning activities will open on 1 October and must be completed by 31 October.

These activities must be completed before the group challenge begins and the live sessions start.

The schedule for the live sessions will be communicated by the professor following student enrolment.

• EUNICE students enrolled in one of the universities of the EUNICE European University consortium (check universities here).
• Good command of the English language: B1 level.
• Basic knowledge in statistics.

Study Level: Bachelor

• Submit your application via the button ‘Apply Now’.
• Please keep in mind that the number of participants could be limited for each course. Application does not guarantee enrolment in the course.
• The course participants will be selected based on criteria specified in the study guide.
• Your home university will inform you whether you have been accepted and provide further information about the next steps.

Specific instructions in some universities

• BTU students: a Learning Agreement must be completed in advance in coordination with your departmental advisor. Please contact your examination office and study programme coordinator in good time once you are accepted for the courses you would like to attend. For any other questions you can contact: eunice@b-tu.de
• UPHF students: make sure to ask the approval of your director of studies (responsable pédagogique) before applying. For any question, you can contact the EUNICE office: eunice@uphf.fr
• UoP students: for questions about enrolment and recognition please consult  the responsible person at your university (Director of Studies or ECTS coordinator) or contact eunice@go.uop.gr

Any questions about enrolment or credit recognition? Contact your EUNICE courses coordinator.