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放射学中的大型语言模型和大型概念模型:当前的挑战,未来的方向和关键的观点

Suleman A Merchant1, Neesha Merchant2, Shaju L Varghese3

  • 1Department of Radiology, LTM Medical College and LTM General Hospital, Mumbai 400022, Maharashtra, India. suleman.a.merchant@gmail.com.

World journal of radiology
|December 8, 2025
PubMed
概括

大型语言模型 (LLM) 在放射学AI中表现有前途,但存在局限性. 大型概念模型 (LCM) 为医疗AI中先进的推理和临床决策提供了一个新的范式.

关键词:
医疗保健中的人工智能人工智能模型的局限性和挑战人工智能中的概念推理可解释的人工智能大型概念模型的大型概念模型大型语言模型.医学成像 人工智能 人工智能多模式的人工智能模型放射学中的自然语言处理.放射学 人工智能 放射学 人工智能

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
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