In 2025, Big Data and Artificial Intelligence (AI) continue to reshape healthcare, with the integration of advanced machine learning algorithms, large language models (LLMs), and intelligent medical technologies becoming increasingly essential. The explosion of healthcare data from electronic health records and genomics to wearable sensors and real-time monitoring has amplified the need for intelligent, scalable, and trustworthy analytics.
A key frontier in this transformation is the emergence of personalized Agentic AI systems—autonomous, adaptive agents tailored to individual patient needs—which are driving the next wave of innovation in precision health. These systems enable more proactive, context-aware, and patient-centric care by leveraging vast data sources and dynamic learning capabilities.
This workshop aims to foster interdisciplinary collaboration across artificial intelligence, natural language processing, big data analytics, and biomedical engineering to address emerging challenges and opportunities in healthcare.
We invite contributions that highlight novel methodologies, systems, and applications that harness the synergy between Big Data and AI to improve healthcare outcomes, support clinical decision-making, and advance personalized precision medicine.
For more details on submitting your work, including topics of interest and submission guidelines, please visit our Call for Papers page.