| 18 Sept. | 09:00 - 10:30 | |||
| FRESCOES ROOM | |||||||
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| HEALTH & NANOMEDICINE |
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| ARTIFICIAL INTELLIGENCE AND NANOTECHNOLOGY | |||||||
| TT.V - Technical Parallel Track Sessions | |||||||
| Artificial Intelligence in Clinical Diagnosis: Focus on Imaging | |||||||
| Co-organized with Istituto Superiore di Sanità Chairs: Rossella CANESE & Franco CARDONE, Istituto Superiore di Sanità |
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Artificial intelligence (AI) is transforming the healthcare sector with the potential to improve patient care and quality of life. Rapid advances in AI can revolutionize healthcare by integrating it into clinical practice, helping to improve disease diagnosis, treatment selection, and clinical laboratory testing, optimize drug dosages, improve population health management, establish guidelines, and improve patient education. AI-based algorithms and technologies that can leverage large data sets and identify patterns applicable in different fields of healthcare will be presented. In addition to the mandatory event registration on the official website at the LINK, participants are also invited to complete the participation form for this session at this other LINK.
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| TT.V.G.1 | Guido GIGANTE - CV ISS Unlocking the AI Black Box: An Introduction to Explainable AI (XAI) |
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| TT.V.G.2 | Andrea CIARDIELLO - CV ISS Beyond Localization and Heatmaps: The Potential of Diverse XAI Approaches in Radiology |
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| TT.V.G.3 | Sonia COLOMBO SERRA - CV Bracco AI and Contrast-Enhanced Imaging: Maximizing Diagnostic Value through Innovation |
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| TT.V.G.4 | Francesco BIANCARDI - CV Zeiss Ai-driven Multimodal and Multiscale Imaging from pre-clinical to clinical research |
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| Back to Fields & Topics | Back to Plan 18 September | ||





