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New CORTEX benchmark aims for trustworthy AI in 3D chest CT analysis

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced CORTEX, a new benchmark designed to improve the trustworthiness of multimodal large language models (MLLMs) in 3D chest CT analysis. Existing datasets often reduce complex radiology reports to simple answer pairs, omitting the crucial reasoning process that clinicians use. CORTEX addresses this by providing structured, four-stage diagnostic traces that mirror a radiologist's workflow, from visual observation to answer synthesis. This benchmark, built on the CT-RATE dataset and validated with clinician input, includes over 76,000 reasoning traces to enable the development and evaluation of MLLMs that can provide traceable and verifiable diagnoses. AI

IMPACT This benchmark could lead to more reliable and interpretable AI diagnostic tools in medical imaging.

RANK_REASON The cluster describes a new academic benchmark and dataset for AI research.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New CORTEX benchmark aims for trustworthy AI in 3D chest CT analysis

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COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

    Reasoning in multimodal large language models (MLLMs) has shown strong promise in medical imaging. However, this reasoning is usually free-form text judged only by its final answer, making it hard to interpret and verify, especially in 3D radiology, where a diagnosis should be tr…

  2. arXiv cs.CV TIER_1 English(EN) · Hashmat Shadab Malik, Anees Ur Rehman Hashmi, Numan Saeed, Muzammal Naseer, Salman Khan, Christoph Lippert ·

    CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

    arXiv:2606.27264v1 Announce Type: new Abstract: Reasoning in multimodal large language models (MLLMs) has shown strong promise in medical imaging. However, this reasoning is usually free-form text judged only by its final answer, making it hard to interpret and verify, especially…

  3. arXiv cs.CV TIER_1 English(EN) · Christoph Lippert ·

    CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

    Reasoning in multimodal large language models (MLLMs) has shown strong promise in medical imaging. However, this reasoning is usually free-form text judged only by its final answer, making it hard to interpret and verify, especially in 3D radiology, where a diagnosis should be tr…

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