Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning
T. Kim, Michael Makutonin, Reza Sirous, Ramin Javan
Abstract
Prompt engineering and fine-tuning are powerful tools that can maximize the potential of large language models for their use in radiology, yet many challenges and limitations remain for their full implementation.
Topics & Concepts
MedicineMedical physicsRadiologyIntensive care medicineArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingRadiology practices and education