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Medical AI models struggle with Indonesian radiology questions

By PulseAugur Editorial · [2 sources] ·

A new study published on arXiv investigates the performance of medical vision-language models (VLMs) when faced with a language shift from English to Indonesian. Researchers introduced IndoRad-VQA, a dataset adapted from VQA-RAD, to test these models' radiology reasoning capabilities in Bahasa Indonesia. The findings indicate a significant performance drop, ranging from 8% to 25%, when models are prompted in Indonesian compared to English, highlighting a critical need for more inclusive multilingual evaluations in medical AI. AI

IMPACT Highlights the need for multilingual datasets to ensure equitable performance of medical AI across different languages.

RANK_REASON Research paper published on arXiv detailing a new dataset and evaluation of existing models.

Read on arXiv cs.CL →

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

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Pieter Christy Yan Yudhistira, Dzaki Rafif Malik, Novanto Yudistira ·

    Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study

    arXiv:2606.03693v1 Announce Type: new Abstract: Medical Vision-Language Models (VLMs) are typically evaluated on English radiology visual question answering benchmarks, leaving their robustness under non-English clinical language largely unexplored. We introduce IndoRad-VQA, an I…

  2. arXiv cs.CL TIER_1 English(EN) · Novanto Yudistira ·

    Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study

    Medical Vision-Language Models (VLMs) are typically evaluated on English radiology visual question answering benchmarks, leaving their robustness under non-English clinical language largely unexplored. We introduce IndoRad-VQA, an Indonesian adaptation of VQA-RAD, to assess wheth…

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