Intelligenza Artificiale in Medicina
From theory to practice: guided exercises and clinical applications
EdiSES Università · I edition, 2025 · 210 pages · ISBN 9788836232451
The book gives the theoretical foundations of artificial intelligence and lets the reader put its most relevant medical applications into practice, alternating theory with guided exercises. Its distinctive feature is the hands-on approach: with the open-source software Orange Data Mining, students run AI techniques on clinical datasets with no programming knowledge required.
What’s inside
Six chapters, from the foundations of AI to ethics in clinical practice
1. Introduzione all’Intelligenza Artificiale
2. Fondamenti di Apprendimento Automatico (Machine learning)
3. Le Reti Neurali Artificiali
4. Imaging Medico Assistito dall’Intelligenza Artificiale
5. Elaborazione del linguaggio naturale (NLP) e sue applicazioni in medicina
6. Etica ed integrazione nella pratica clinica dell’Intelligenza Artificiale
Dataset utilizzati · Bibliografia · Altre fonti e approfondimenti
The authors
Metabolic Intelligence Lab · Università Cattolica del Sacro Cuore, Rome
Giuseppe Maulucci, Tommaso Marchetti and Cassandra Serantoni — Metabolic Intelligence Lab, Università Cattolica del Sacro Cuore, Rome.
The book has its own Instagram account, @ia.in.medicina, with examples, exercises and updates from the authors.