The path forward for large language models in medicine is open

Открытый путь развития больших языковых моделей в медицине
Lars Riedemann, Maxime Labonne, Stephen Gilbert, Maxime Labonne
2024-11-27

AI model accountabilityclinical decision supportlarge language modelsmedical documentationopen-source models
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.
1
Large language models are increasingly used for medical documentation and are being considered for clinical decision support.
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Model openness would enable healthcare professionals to hold medical AI systems accountable.
3
Open models would allow medical tool developers to control the safety and quality of underlying AI systems.
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The central conclusion is that openness is essential for the future development and deployment of LLMs in medicine.
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The paper argues that future medical LLMs should rely on transparent and controllable open-source models.

open-source large language models applied in medicine

transparency, controllability, safety, quality, and accountability of medical LLMs

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Publication Date
2024-11-27
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Authors
Lars Riedemann
Maxime Labonne
Stephen Gilbert
Maxime Labonne
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