ARTIFICIAL INTELLIGENCE IN MEDICINE
Stampa
Enrollment year
2020/2021
Academic year
2021/2022
Regulations
DM270
Academic discipline
ING-INF/06 (ELECTRONIC AND INFORMATION BIOENGINEERING)
Department
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Course
BIOENGINEERING
Curriculum
Sanita' digitale
Year of study
Period
1st semester (27/09/2021 - 21/01/2022)
ECTS
6
Lesson hours
56 lesson hours
Language
Italian
Activity type
WRITTEN TEST
Teacher
SACCHI LUCIA (titolare) - 6 ECTS
Prerequisites
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Learning outcomes
This module aims at providing a set of instruments for knowledge representation and management, which are then applied to the modeling of clinical decision support systems. The first part of the module focuses on knowledge conceptualization and representation through ontologies. The second part is centered on the topic of evidence-based medicine (EBM), with particular attention to the process of Clinical Practice Guidelines (CPGs) formalization and translation into computer-interpretable guidelines (CIGs). The last part of the module is focused on process modeling, starting from business process modeling but with a particular attention to healthcare workflows. Students will be introduced to a number of state-of-the-art research software tools that allow implementing a system able to support medical decision-making relying on a CPG. The main educational goal of the module is to understand the importance of developing conceptual models of knowledge representation, and how this enables the design of innovative decision support tools, which can be of great impact if integrated into Hospital Information Systems.
Course contents
Knowledge Engineering
Knowledge-based systems
The creation and management of knowledge
Introduction to Artificial Intelligence in Medicine
The history of artificial intelligence in medicine
Decision support systems in Medicine
Knowledge conceptualization and representation
Introduction to Ontologies
How to create domain ontologies
Ontologies in Protegé
Evidence-Based Medicine
Clinical Practice Guidelines to represent recommended behaviors in medicine
Computer-Interpretable Guidelines
Process Modeling
• Introduction to business process modeling
Processes representation through workflows
An introduction to Petri nets
YAWL: a tool for the modeling of processes of care
Teaching methods
Lectures (hours/year in lecture theatre): 35
Practical class (hours/year in lecture theatre): 10
Practicals / Workshops (hours/year in lecture theatre): 10
Reccomended or required readings
Slides and further material is available on the module website.
Other books:
Altri testi:
R. Greenes: Clinical decision support- The road for broad adoption, 2nd Edition, Academic Press
R. Arp, B. Smith, A.D. Spear: Basic Formal Ontologies, The MIT Press
Assessment methods
During the course, students are introduced to two research softwares that cover all the presented aspects of the discipline. In the last part of the semester, students are divided into groups of 3 people and are assigned a group project. The project is centered on the development of a prototype guideline-based decision support system using the tools presented during the lectures. The final exam is aimed at: (1) oral presentation and evaluation the projects, that are marked for each group, and (2) evaluating individual students (with a written exam) on the theoretical parts of the course.
Further information
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Sustainable development goals - Agenda 2030