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<b>IEEE BIBM 2024 WORKSHOP</b></div>
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<b>SAI-Care 2024: Integrating Symbiotic AI in Biomedical Informatics</b></div>
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<b>A Workshop on Advanced SAI-based applications in Healthcare</b></div>
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<b>Lisbon, Portugal, 3 – 6 December 2024</b></div>
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<b>Website:</b> <a href="https://caislab.di.unisa.it/sai-care-2024/" target="_blank" id="OWA8d1a4035-ea7c-b83f-62bb-da419a4d00d9" class="OWAAutoLink" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="2" style="margin: 0px;">https://caislab.di.unisa.it/sai-care-2024/</a></div>
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<b><i>Workshop Overview</i></b></div>
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The integration of artificial intelligence (AI) into the biomedical field represents a groundbreaking frontier in both research and practical application of medicine. With the exponential growth of biomedical data, AI has emerged as a crucial tool for analyzing
vast amounts of information, uncovering complex hidden patterns, and supporting critical clinical decisions. In the context, Symbiotic AI (SAI) explores the synergistic relationship between artificial intelligence systems and human users, aiming to enhance
collaboration and coexistence between the two entities. This symbiotic relationship empowers healthcare professionals with advanced analytical capabilities, enabling them to make more accurate diagnoses, personalize treatment plans, and optimize patient care
pathways.</div>
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<b><i>Call for Paper</i></b></div>
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The workshop aims to explore the synergy between SAI and biomedical informatics, emphasizing the integration of AI technologies into reliable and Symbiotic Computer-Aided Diagnosis (SCAD) systems. Topics include advanced AI-based applications in healthcare,
with a particular focus on explainable AI models to ensure transparency and reliability in medical decision-making processes. Participants will explore how SCAD systems symbiotically enhance diagnostic accuracy, treatment planning, and patient care pathways
within the biomedical informatics landscape.</div>
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Potential topics for the workshop could include but non are limited to:</div>
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<div style="margin: 0px;">AI-driven diagnostic tools in healthcare</div>
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<div style="margin: 0px;">Applications of AI models in personalized medicine</div>
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<div style="margin: 0px;">eXplainable in the use of AI in biomedical informatics</div>
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<div style="margin: 0px;">Implementing AI algorithms for medical imaging analysis</div>
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<div style="margin: 0px;">Natural language processing in healthcare informatics</div>
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<div style="margin: 0px;">Predictive analytics for disease prevention and early detection</div>
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<div style="margin: 0px;">AI-powered drug discovery and development</div>
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<div style="margin: 0px;">Challenges and opportunities in integrating AI into clinical workflows</div>
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<div style="margin: 0px;">Design of symbiotic AI systems for healthcare</div>
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<div style="margin: 0px;">The role of AI in improving healthcare delivery and patient outcomes</div>
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<b><i>Important Dates</i></b></div>
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Oct 10, 2024: Due date for full workshop papers submission</div>
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Nov 5, 2024: Notification of paper acceptance to authors</div>
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Nov. 21, 2024: Camera-ready of accepted papers</div>
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Dec 3-6, 2024: Workshops</div>
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Jessica Gliozzo, PhD</div>
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Post-Doctoral Researcher @ Dept. of Computer Science - Università degli Studi di Milano</div>
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e-mail: <a href="mailto:jessica.gliozzo@unimi.it" target="_blank" id="OWAec74e751-e5c6-2b49-28e7-ed67cd803d4a" class="OWAAutoLink">
jessica.gliozzo@unimi.it</a></div>
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Anacleto Lab - Comp. Biology and Bioinformatics Lab website: <a href="http://anacletolab.di.unimi.it/" target="_blank" id="OWA966c0824-9611-ab26-b6b4-dadc31769832" class="OWAAutoLink">
http://anacletolab.di.unimi.it</a></div>
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