B0127 - Sensoristica avanzata ed intelligenza artificiale in medicina

Learning outcomes

At the end of the course, students will acquire methodological knowledge about sensors and artificial intelligence in the biomedical field, as a basis for the ability to understand the tools for monitoring and digital evaluation of chronic and degenerative diseases.

Course contents

1. Wearable sensors for monitoring physiological signals.
2. From technology to clinic: the requirements of medical sensors.
3. Principles, applications and perspectives of artificial intelligence in medicine and implications on the doctor-patient relationship.
4. Principles of physiological signal analysis.

Readings/Bibliography

Mandatory

• Lecture notes, ppt slides and articles provided by the lecturer

Further readings

• Edward Sazonov and Michael R. Neuman, "Wearable Sensors: Fundamentals, Implementation and Applications", Elsevier Science & Technology, 2021 (ebook access with UNIBO credentials here)
• Roberto Ascione, "Il futuro della salute", Hoepli, 2018

Teaching methods

The program of the course is carried out in the classroom through a cycle of lectures. The course is then integrated by moments of cooperative learning using the debates methodology.

Assessment methods

Written exam with three open questions (pass or fail), one for each of the three courses that constitute the integrated course. Failure to pass any one of the three questions will determine the failure to pass the whole examination. A positive evaluation will be obtained in the following cases: a) achievement by the student of a coherent vision of the topics discussed in the exam combined with their critical use, the demonstration of an expressive mastery and ability to use specific biomedical language terms; b) mostly mechanical and / or mnemonic knowledge of the subject, the ability of synthesis and analysis not completely articulated, and / or the use of a correct but not always appropriate language; c) training gaps and / or inappropriate language in a context of basic yet complete knowledge of the exam material. Training and significant knowledge gaps concerning the teaching materials offered during the course and inappropriate language are negatively evaluated.

Teaching tools

Power Point slides, videoprojector, online resources: databases for bibliographic search (PubMed), Cochrane Library

Office hours

See the website of Lorenzo Chiari