The application of Artificial Intelligence (AI) techniques for analyzing medical images and omics data is revolutionizing the healthcare industry by offering profound insights into various diseases. Achieving precise diagnoses and formulating effective treatment plans, however, demands intricate and multimodal analysis of complex, sensitive, and diverse medical datasets. Recent advancements in Machine Learning and Deep Learning have proven to be formidable in identifying and classifying specific diseases. This paper outlines the current projects undertaken by our research group in this innovative domain.

AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights

Adornetto C.;Bruno P.;Calimeri F.;De Rose E.;Greco G.;Quarta A.
2024-01-01

Abstract

The application of Artificial Intelligence (AI) techniques for analyzing medical images and omics data is revolutionizing the healthcare industry by offering profound insights into various diseases. Achieving precise diagnoses and formulating effective treatment plans, however, demands intricate and multimodal analysis of complex, sensitive, and diverse medical datasets. Recent advancements in Machine Learning and Deep Learning have proven to be formidable in identifying and classifying specific diseases. This paper outlines the current projects undertaken by our research group in this innovative domain.
2024
Artificial Intelligence
Deep Learning
Genomics
Medical Imaging
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/377723
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