The path forward for large language models in medicine is open
Lars Riedemann, Maxime Labonne, Stephen Gilbert
Abstract
Large language models (LLMs) are increasingly applied in medical documentation and have been proposed for clinical decision support. We argue that the future for LLMs in medicine must be based on transparent and controllable open-source models. Openness enables medical tool developers to control the safety and quality of underlying AI models, while also allowing healthcare professionals to hold these models accountable. For these reasons, the future is open.
Topics & Concepts
Openness to experienceDocumentationQuality (philosophy)Path (computing)Control (management)Health careComputer scienceOpen sourcePsychologyPolitical scienceArtificial intelligenceComputer networkSoftwareProgramming languagePhilosophyEpistemologySocial psychologyLawArtificial Intelligence in Healthcare and EducationTopic ModelingRadiomics and Machine Learning in Medical Imaging