OT4 Artificial Intelligence in Medicine

MD Program @ CISMED

Lecturers
Giuseppe Riccardi
Giovanni Iacca
Eleonora Maria Aiello

Description
The primary objectives of this AI pathway (lectures, labs, and internship) are designed and developed for medical students: 1) to provide a conceptual mapping of the fundamental principles that govern artificial intelligence systems and 2) to present their applications in medicine.
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.

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.

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