Event Speaker

Ghulam Rasool, PhD

Associate Member, Department of Machine Learning

Moffitt Cancer Center

Dr. Ghulam Rasool is an Assistant Member at Moffitt Cancer Center, specializing in artificial intelligence applications in medical imaging, digital pathology, and cancer research. His research focuses on developing AI-driven solutions for clinical data extraction, report standardization, and decision support systems. His research integrates machine learning, large language models (LLMs), and multimodal AI to enhance radiology and pathology workflows while ensuring data privacy and regulatory compliance. At SIIM 2025, Dr. Rasool will present his latest work on improving radiology report clarity and structure using locally deployed, open-source LLMs.

Sessions

Running Local LLMs Behind Institutional Firewalls: Hands-On Guide for Secure Clinical AI Learning Lab

Presented by Ghulam Rasool, PhD Jun 12, 2026 | 1:00 PM.

Large language models are increasingly used across radiology, pathology, and clinical workflows, but cloud-based models often conflict with patient privacy, HIPAA requirements, and institutional data governance. This Learning Lab addresses the growing need to deploy LLMs securely behind institutional firewalls while maintaining control, transparency, and compliance. Participants learn when and why local LLM deployment makes sense, including…