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Artificial Intelligence in Biomedical Applications

     
   18 Sept. clessidra che gira 16:00 - 17:30
ROOM 28
energy
HEALTH & NANOMEDICINE
ARTIFICIAL INTELLIGENCE AND NANOTECHNOLOGY
ARTIFICIAL INTELLIGENCE AND NANOTECHNOLOGY
TT.VIII - Technical Parallel Track Sessions
Artificial Intelligence in Biomedical Applications
Co-organized with University "Mediterranea" of Reggio Calabria
Chairs: Giuliana FAGGIO & Giacomo MESSINA, University "Mediterranea" of Reggio Calabria

In this session, the workshop will examine the impact of Artificial Intelligence (AI) in biomedical applications, with special focus on medical imaging. AI-driven tools—particularly machine learning and deep learning algorithms—are revolutionizing image acquisition, analysis, and interpretation in fields such as radiology, pathology, and diagnostic imaging. These technologies are enhancing precision, enabling early disease detection, and supporting clinical decision-making through automated and data-driven approaches. On the other hand, AI raises concerns about the security and privacy of medical data processing.
As AI continues to evolve, its integration into biomedical applications promises to transform the future of healthcare, making it more efficient, precise, and accessible.

Supported by: Fondo per lo Sviliuppo e la Coesione and Ministero della Salute
FSC MionSalute
The symposium is part of WS.III
TT.VIII.A.1
WS.III.4.1
Gianluca LAX - CV
University "Mediterranea" of Reggio Calabria
Artificial Intelligence in medical data processing: data privacy concerns and solutions
LAX Gianluca  
TT.VIII.A.2
WS.III.4.2
Eugenio VOCATURO - CV
NANOTEC National Research Council
Next-Generation AI Frameworks for Accurate and Interpretable Medical Imaging
VOCATURO Eugenio  
TT.VIII.A.3
WS.III.4.3
Danilo PRATTICÒ - CV
University "Mediterranea" of Reggio Calabria
Multimodal Attention-Based Architecture for Parkinson’s Disease Classification from Brain MRI and Clinical Data
PRATTICO Danilo  
TT.VIII.A.4
WS.III.4.4
Filippo LAGANÀ - CV
University Magna Graecia of Catanzaro
Standardized Acquisition and Preprocessing of Brain MRI for Parkinson’s Disease Assessment: From DICOM Imaging to AI-Ready Data
LAGANA Filippo  
 

 

 
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