Large language models and the emergence phenomena
Vera Sorin, Eyal Klang
Abstract
This perspective explores the potential of emergence phenomena in large language models (LLMs) to transform data management and analysis in radiology. We provide a concise explanation of LLMs, define the concept of emergence in machine learning, offer examples of potential applications within the radiology field, and discuss risks and limitations. Our goal is to encourage radiologists to recognize and prepare for the impact this technology may have on radiology and medicine in the near future.
Topics & Concepts
MedicinePerspective (graphical)Field (mathematics)RadiologyData scienceArtificial intelligenceComputer scienceMathematicsPure mathematicsTopic ModelingArtificial Intelligence in Healthcare and EducationNatural Language Processing Techniques