ARTIFICIAL INTELLIGENCE AND SOFT SKILLS IN THE HEALTHCARE SECTOR

The course Artificial Intelligence and Soft Skills in the Healthcare Sector aims to 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;
• and  to develop soft skills useful for the training of the doctor, to give the student the tools for a better self-knowledge, an ability to adapt to different situations, to communicate, to work in a team, to organise his work and to apprehend ethical issues.

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

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

The work is organized in international groups. Each group is assigned a challenge, in the form of an anonymized database, built from data obtained in real practice. Each group will have to process their data to derive a set of clinically useful information and to present in public all of their work.

All of these modules aim to stimulate the creativity and entrepreneurial spirit of learners.

They´ll develop a reasoned approach to AI and the development of efficient and ethical working methods.

Timetable:

These self-learning activities must be completed before the group challenge starts and live session begin.
The live session schedule will be communicated by the professor after the student enrolment.

• EUNICE student: enrolled as a student (Bachelor, Master or PhD) in one of the universities of EUNICE European University consortium (check universities here).
• Good command of the English language: B1 level.

Prior skills required:

• Basic knowledge in statistics.

Study Level: Bachelor, Master, PhD

• 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: for questions about enrolment and recognition at your university, you can visit this website.
• 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.