Artificial Intelligence in Medicine
MD Program @ CISMED
LecturersGiuseppe Riccardi
Giovanni Iacca
Eleonora Maria Aiello
TAs
Simone Alghisi
Massimo Rizzoli
Gabriele Roccabruna
Description
The objectives of this AI curriculum (lectures, labs, and internship@Hospitals) are specifically designed and developed for medicine students: 1) to provide a conceptual mapping of the fundamental principles that govern artificial intelligence systems, 2) to present their applications in medicine and 3) Develop AI use cases in the hospitals' clinical units within interdisciplinary teams.
The lab activities will provide practical examples of the main applications of machine learning in the medical field, particularly focusing on the automatic analysis of data for diagnostic purposes (for example, through automatic image classification). Last but not least, the internship will aim to apply what has been learned in the lectures and the laboratories to real case studies in a clinical environment or research groups in the AI field. The clinical units maybe from all specialties, including neurosurgery, imaging diagnostics, ophthalmology, health physics, cardiology, and endovascular surgery.
Contents
The course will present the fundamental concepts of artificial intelligence (AI) systems and machine learning. Case studies and applications of AI systems in the medical and health sector will be discussed. In the central part of the course, laboratory sessions will provide practical examples of analysis of physiological signals. Supervised and unsupervised learning techniques will be presented and applied to these signals. Several examples of automatic diagnostic analysis of time series and images will be provided. The internship will be carried out in one of the operational units of the clinics affiliated with the medical school. The course aims to transfer the knowledge acquired in the lectures and labs to the review of the decision-making processes in the medical and clinical fields.
Final Assessment
The students will present and discuss the use case they have co-developed with MDs and AI researchers during the internship at the hospital's units.
=======Lecture, Lab material============
LECTURES
Introduction (Objectives, Organization and Assessment)What is AI
Machine Learning Concepts and Frameworks
Reinforcement LearningAI for Medicine and Health
Use CasesLabs and Internship Organization
LABS
Data and VisualizationLogistic Regression
Decision Trees
Unsupervised Learning
Convolutional Neural Networks
Multi-Layer Perceptron Neural Networks
