AI for Health: Leveraging Artificial Intelligence to Revolutionize Healthcare
Date: March 31 – April 2, 2025
Venue: San Francisco Airport Marriott Waterfront, Burlingame, CA, USA
Address: 1800 Old Bayshore Hwy, Burlingame, CA 94010 (Room: Bayside 3)
AI for Health
Artificial Intelligence (AI) is poised to transform healthcare, offering groundbreaking capabilities in disease diagnosis, treatment, drug discovery, and patient care. By improving access to health services, reducing costs, and addressing workforce shortages, AI can play a pivotal role in tackling global health challenges. However, successfully integrating AI into healthcare requires careful consideration of regulatory frameworks, governance structures, data equity, and privacy protections. This symposium will bring together AI researchers, clinicians, and industry experts to foster meaningful dialogues and insights that contribute to responsible AI development.
Traditional AI models in healthcare often rely on limited, isolated datasets, facing challenges like missing values, data imbalance, and insufficient representation of diverse patient populations. These issues can lead to algorithmic biases, diminished generalizability, and reduced accuracy of AI-driven predictions, especially in clinical settings. Ensuring access to large, high-quality datasets is key to addressing these limitations, yet privacy and security constraints often restrict data sharing and collaboration across institutions.
This symposium aims to explore current challenges and forward-looking solutions to enhance AI’s reliability, inclusivity, and ethical impact in healthcare. By bringing together diverse stakeholders, it seeks to foster cross-disciplinary collaborations and promote the development of people-centered, AI-enabled healthcare systems.
Registration & Logistics
For general symposium details, registration, and hotel reservations, please visit the AAAI 2025 Spring Symposium website.
AAAI Registration Page: Scroll to the bottom and click Start Registration.
About: AAAI official website provides general information and handles registration, while this site offers details specific to our symposium, including paper submissions, schedules, speakers, and program updates.
Specialized Topics: Explore AI in medical diagnostics, drug discovery, and patient care.
World-Class Speakers: Hear from renowned researchers, clinicians, and industry leaders.
Collaboration Opportunities: Engage in cross-disciplinary discussions and networking.
We gratefully acknowledge the support of Lehigh University, I-DISC, and the Department of Computer Science and Engineering.
