Artificial Intelligence for Biomedicine and Healthcare

Innovative Technologies in Medicine and Surgery

Innovative Technologies in Medicine and Surgery

Academic year 2024/2025

Sommario del corso

• Course objectives
• Results of learning outcomes
• Program
• Course delivery
• Learning assessment methods
• Support activities
• Teaching Modules
• Teaching tools
• Course card

Course objectives

Innovative technologies in healthcare – which are new technologies, processes or products that aim to improve healthcare by making medicine, surgery and services more efficient, accessible and affordable – have the potential to revolutionize medical practices.

Innovation in healthcare is active across multiple sectors, including the deployment of telemedicine, robotics, nanomedicine, and more. Recent advancements in technology and a growing focus on improving patient outcomes and healthcare efficiency have resulted in the rapid evolution of healthcare innovations in recent years. 

In this scenario, the student must understand the principal elements of different technologies, including their role in moder healthcare, the positive and eventually negative aspects related to their implementation, and the possibilities to use Artificial Intelligence to manage them.

Results of learning outcomes

At the end of the course, the student must be able to:

1. KNOWLEDGE AND UNDERSTANDING - acquisition of theoretical knowledge concerning innovative technologies in healthcare with a focus on most relevant ones linked to the use of Artificial Intelligence
2. APPLYING KNOWLEDGE AND UNDERSTANDING - acquisition of the ability to apply the theoretical knowledge to the solution of cases, with a focus on relevant issues managed with Artificial Intelligence
3. MAKING JUDGEMENTS - acquisition of aware judgment autonomy concerning evaluation and interpretation of new technologies to achieve strategic choices in relevant situations
4. COMMUNICATION SKILLS - acquisition of multidisciplinary communication skills and expertise, as well as the acquisition of elements of technical terminology
5. LEARNING SKILLS - acquisition of autonomous learning capacity and self-assessment of its preparation, to undertake subsequent studies with a high degree of autonomy

Program

All the details regarding the program are available in the Program section of each Teaching Module, under the responsibility of the relevant teacher.

Course delivery

Lectures will take place in presence, with an option for remote only in exceptional circumstances. The students are invited to attend all lectures and labs, interacting with the lecturer both in presence and remotely offline via e-mail or through the course Moodle messaging system.

Learning assessment methods

Written exam.

Students will be evaluated by a written exam on the topics addressed during the course. The test will consist of open questions and “true or false” questions.

ON LINE EXAMS: In case of need, the exam will be carried out remotely. It will consist of an oral test via Web-Ex. Students will receive communication on how to access the test and the Web-Ex platform by e-mail on the institutional e-mail address.

Support activities

All didactic material concerning the theoretical lessons will be published and/or available on the Moodle platform.

Teaching Modules

• ONC0258A Robotics in healthcare (ONC0258A)
• ONC0258B Telemedicine and remote patients care (ONC0258B)
• ONC0258C "Immersive" technology applications (ONC0258C)
• ONC0258D AI driven Radiation Oncology (ONC0258D)
• ONC0258E Precision medicine and translational sciences in oncology (ONC0258E)
• ONC0258F Tissue regeneration, biomaterials and nanotechnologies (ONC0258F)

• Teaching material
• Exams and finals
• Class schedule
• Go to Moodle
• Register for the course
• Enrolled students
• Invia email agli studenti registrati
• Export table