Lecturer: Lucia Sacchi  

Course name: Intelligenza artificiale in medicina
Course code: 502950
Degree course: Bioingegneria
Disciplinary field of science: ING-INF/06
L'insegnamento è caratterizzante per: Bioingegneria
University credits: ECTS 6
Course website: n.d.

Specific course objectives

This module aims at providing a set of instruments for knowledge representation and management, which are then applied to the modeling of healthcare processes based on scientific evidence. 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 programme

Knowledge Engineering

• Knowledge-based systems
• The creation and management of knowledge

Introduction to Artificial Intelligence in Medicine

• The history of artificial intelligence in medicine
• Expert 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
• GUIDE: a research tool to formalize CPGs

Process Modeling
• o

• Introduction to business process modeling
• Processes representation through workflows
• An introduction to Petri nets
• YAWL: a tool for the modeling of processes of care

Course entry requirements

Course structure and teaching

Lectures (hours/year in lecture theatre): 35
Practical class (hours/year in lecture theatre): 10
Practicals / Workshops (hours/year in lecture theatre): 0

Suggested reading materials

Slides and further material is available at the module website

Testing and exams

During the module, the students are introduced to three research tools that cover all the presented aspects of the discipline. In the last part of the module, students are divided into groups of 3 people and are assigned a project. The project is centered on the formalization of a CPG using 2 out of the 3 tools presented during the lectures. The final exam is aimed at: * evaluating the projects (that are marked for each group) * evaluating the individual students on the tool not used in the project