Event Speaker
Ghulam Rasool, PhD
Assistant Member
Machine Learning, 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
Transforming Radiology Reporting: AI-Driven Tools for Education, Communication, and Reliability Scientific Research Abstracts
AI-Powered Extraction of Relevant Information from Prior Radiology Reports Yiting Xie, PhD, Senior Data Scientist, Merge by Merative Linda Bagley; Marwan Sati, PhD Enhancing Radiology Resident Education Through Locally Deployed AI/ML-Driven Report Feedback: A Pilot Study to Evaluate Feasibility and Impact Orhan Unal, PhD, Assistant Professor, University of Wisconsin School of Medicine & Public…