Webinar on Artificial Intelligence in Telemedicine

An introduction and some practical applications
29 Feb 2024 01 Mar 2024
Target Group
Undergraduate & Master students
Lund University, University of Szeged, University of Alcalá & Université Paris-Saclay
Closed  (Deadline: 26 Feb 2024 23:59)

This is an online webinar with a double purpose: to introduce some of the techniques used in Artificial Intelligence (AI) and to present some applications in Telemedicine. Participants will understand the foundations of models used to develop AI applications in medicine.

The programme schedule will include live on (6 hours) and pre-recorded (4 hours) sessions.

The webinar spans two days, featuring dynamic morning sessions dedicated to live presentations by esteemed professors, followed by engaging Q&A sessions. In the afternoons, participants will have access to supplementary pre-recorded content, albeit without interactive elements. The morning sessions cover a broader spectrum of topics, offering a general overview, while the afternoon sessions delve into more technical aspects, providing a detailed explanation of techniques applied in the specific context under discussion.

Learning objectives

In the webinar, several professors and researchers from diverse affiliations and countries will contribute, offering expert insights into various aspects of AI in telemedicine. Notably, presentations will be delivered by experts hailing from Indonesia, Japan, China, France, Sweden, Hungary and Spain. By the conclusion of the seminar, participants will gain a comprehensive understanding of the pivotal role AI plays as a transformative factor in the provision of medical services, particularly in the realm of telemedicine. While no certificates will be issued, attendees will receive an official letter of attendance from the seminar director.


  • Digital skills
  • Critical thinking
  • Ethics & responsibility


Non-graduate and Master students of any discipline can apply. No pre-requisites for the course are needed. Medicine students with background in medicine, pharmacy, nursery and other medical or biological sciences will have preference.

  • Selection strategy: First come first served. Once the enrollment capacity is met for each partner university, a waitlist will be initiated. If the minimum enrollment requirement is not reached for a specific partner university, any remaining seats will be reallocated to other partner universities.
  • Number of participants: 6 students per partner university.
  • Certificate/ECTS: Attendance letter by course director.
  • Language: English.