The path forward for large language models in medicine is open

• Verfasst von: Riedemann, Lars [VerfasserIn]
• Verfasst von: Labonne, Maxime [VerfasserIn]
• Verfasst von: Gilbert, Stephen [VerfasserIn]
• Titel: The path forward for large language models in medicine is open
• Verf.angabe: Lars Riedemann, Maxime Labonne & Stephen Gilbert
• E-Jahr: 2024
• Jahr: 27 November 2024
• Umfang: 5 S.
• Illustrationen: Illustrationen
• Fussnoten: Gesehen am 23.05.2025
• Titel Quelle: Enthalten in: npj digital medicine
• Ort Quelle: [Basingstoke] : Macmillan Publishers Limited, 2016
• Jahr Quelle: 2024
• Band/Heft Quelle: 7(2024), Artikel-ID 339, Seite 1-5
• ISSN Quelle: 2398-6352
• DOI: doi:10.1038/s41746-024-01344-w
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Health care
• Sach-SW: Health policy
• K10plus-PPN: 1926398025

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.