In the healthcare domain, the analysis of images and omics data by means of methods based on Artificial Intelligence (AI) is increasingly providing meaningful insights into a number of diseases. However, accurate diagnoses and effective treatments require, in general, complex and multimodal analyses of medical data; making fruitful use of such data, due to their complex, sensitive and heterogeneous nature, is not straightforward. In recent years, Machine Learning and Deep Learning techniques emerged as powerful tools to perform specific disease detection and classification. In this work, we describe the ongoing projects of our research group related to this field.

Artificial Intelligence in Medicine: From Imaging to Omics

Carlo Adornetto
;
Pierangela Bruno
;
Francesco Calimeri
;
Edoardo De Rose
;
Gianluigi Greco
2023-01-01

Abstract

In the healthcare domain, the analysis of images and omics data by means of methods based on Artificial Intelligence (AI) is increasingly providing meaningful insights into a number of diseases. However, accurate diagnoses and effective treatments require, in general, complex and multimodal analyses of medical data; making fruitful use of such data, due to their complex, sensitive and heterogeneous nature, is not straightforward. In recent years, Machine Learning and Deep Learning techniques emerged as powerful tools to perform specific disease detection and classification. In this work, we describe the ongoing projects of our research group related to this field.
2023
Artificial Intelligence, Medical Imaging, Genomics, Deep Learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/358802
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