B6268 - BASIC OF ARTIFICIAL INTELLIGENCE AND APPLICATON IN MEDICINE

Learning outcomes

Basic of Artificial Intelligence in Medicine with selected examples: medical and histopathological imaging, genomics and multi-omics.

Course contents

0. Introduction to the utility of AI in medicine

1. Supervised, unsupervised and semi-supervised learning rules

2. Neural networks and Deep learning

3. Development environments

4. Privacy and ethics issues for biomedical data

5. Applications to selected medical problems

Readings/Bibliography

Lecture notes and selected articles

Teaching methods

Frontal lessons and PC exercises

Assessment methods

Written report on a selected topic.

Students with learning disorders and\or temporary or permanent disabilities: please, contact the office responsible (https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students) as soon as possible so that they can propose acceptable adjustments. The request for adaptation must be submitted in advance (15 days before the exam date) to the lecturer, who will assess the appropriateness of the adjustments, taking into account the teaching objectives.

Teaching tools

Lecture slides and distributed software, or made available to students via github

Office hours

See the website of Gastone Castellani

See the website of Claudia Sala