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Open-source LLMs show promise for privacy-preserving clinical decision-making assessment

By PulseAugur Editorial · [2 sources] ·

A new study, LLM4SDM, investigates the use of open-source smaller language models (OS-sLLMs) for assessing shared decision-making (SDM) in clinical consultations. Unlike previous research that utilized large commercial models, this study focuses on privacy-preserving, locally deployable models and Dutch melanoma consultation transcripts. The findings indicate that general-domain OS-sLLMs performed better than medical-domain models, with Gemma3:12b showing the strongest agreement with human annotations. While current OS-sLLMs are not yet capable of replacing human annotators, they present a viable foundation for privacy-preserving, human-in-the-loop SDM assessment. AI

IMPACT These OS-sLLMs offer a promising avenue for privacy-preserving, human-in-the-loop assessment of shared decision-making in clinical settings.

RANK_REASON The cluster describes a research paper published on arXiv detailing an investigation into the capabilities of open-source smaller language models.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Open-source LLMs show promise for privacy-preserving clinical decision-making assessment

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Tamara Wit, Lifeng Han, Carly Heipon, David Lindevelt, Anne Stiggelbout, Suzan Verberne ·

    Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability

    arXiv:2607.06127v1 Announce Type: new Abstract: We present LLM4SDM, the first study of open-source smaller language models (OS-sLLMs) for automated assessment of shared decision making (SDM) using the Observer OPTION12 framework. Unlike previous work that relies on large commerci…

  2. arXiv cs.CL TIER_1 English(EN) · Suzan Verberne ·

    Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability

    We present LLM4SDM, the first study of open-source smaller language models (OS-sLLMs) for automated assessment of shared decision making (SDM) using the Observer OPTION12 framework. Unlike previous work that relies on large commercial models and the shorter OPTION5 instrument, ou…

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