Large Language Models and Generative AI for Health Informatics

at IJCAI in Montreal, Canada

Palais des congrès, Room-520E, August -18

Submission Guidelines

Note: Authors must submit their registration receipt and, if not attending in person, an 8-minute presentation video to the workshop organizers by August 15th, 8:00 PM PST; failure to do so will result in the paper not being included in the workshop.

Authors are invited to submit full-length research papers (up to 7 pages) following the IJCAI formatting guidelines (no short papers).

Submission Link

Review Policy:

· This conference follows single-blind review process

Important Dates (AOE):

· 2nd call of papers - July 6,2025

· Paper Submission Deadline: June 15, 2025

· Notification of Acceptance: July 1, 2025

Contact Information For inquiries, please contact: d.chaudhary@northeastern.edu

Join us at IJCAI 2025 to discuss the future of LLMs and Generative AI in healthcare!

Topics of interest

The integration of Large Language Models (LLMs) and Generative AI into health informatics is revolutionizing clinical decision-making, personalized medicine, and healthcare administration. We invite original research and position papers on (but not limited to) the following topics:

Applications of LLMs in Health Informatics: Clinical decision support, automated medical documentation, patient engagement, healthcare automation.
Bias Mitigation & Fairness: Addressing disparities in AI-driven healthcare solutions.
Interpretability & Explainability: Ensuring transparency in AI-powered medical applications.
Data Privacy & Security: Addressing HIPAA compliance, federated learning, and synthetic data for AI in healthcare.
Regulatory & Ethical Considerations: AI governance in healthcare and compliance with legal frameworks.
LLM-Driven Diagnostics & Predictions: AI-assisted disease prediction and early detection.
Multimodal AI in Medicine: Combining LLMs with imaging, genomic, and other health data.
Human-AI Collaboration in Healthcare: Enhancing physician workflows with AI-driven tools.