MEDICAL APPLICATION AND HEALTH-CARE - MOD. 2
Stampa
Enrollment year
2021/2022
Academic year
2023/2024
Regulations
DM270
Academic discipline
MED/26 (NEUROLOGY)
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Course
ARTIFICIAL INTELLIGENCE
Curriculum
PERCORSO COMUNE
Year of study
Period
(02/10/2023 - 21/01/2024)
ECTS
3
Lesson hours
24 lesson hours
Language
English
Activity type
WRITTEN AND ORAL TEST
Teacher
Prerequisites
The course requires the student to have basic and introductory
notions that are preparatory to the topics covered in the teaching course.
Learning outcomes
The student should be able to apply the knowledge and skills
acquired during the course to understanding AI applications to medical activities, with a specific focus on neuroscience.
Course contents
interface cerebral activity-machines for the study of neuronal excitability, as well as for sleep medicine; Technology-based objective measures, such as wearable sensors, voice analysis, remote-communication wearable-sensor-data analysis. Medical diangostic tools to implement diangosis and optimize treaments
Teaching methods
The course is organized in frontal lectures, carried out through
PowerPoint presentations, compemented with video sessions and interactive sessions, which will help students to see practical examples of human diseases. This activity will also include integration with case studies and simulation approaches.
In addition, the training activities will be integrated by in-depth seminars.
Reccomended or required readings
Kandel, Schwarz,
Principles of neuroscience
Lesson content;
Assessment methods
Oral examination.
The final evaluation is based on the degree of depth and understanding
of the topics presented and on the ability to integrate the knowledge
acquired during the course.
Further information
Sustainable development goals - Agenda 2030