©The Author(s) 2025.
World J Radiol. Nov 28, 2025; 17(11): 114754
Published online Nov 28, 2025. doi: 10.4329/wjr.v17.i11.114754
Published online Nov 28, 2025. doi: 10.4329/wjr.v17.i11.114754
Figure 2 Architectural contrast of data processing in large language models vs large concept models.
This diagram contrasts the linear, text-focused processing of large language model (LLM) with the integrative, multimodal architecture of large concept models (LCMs). A: LLM - language-centric flow: Text input flows into a centralized language processing core, producing text-based output. This represents LLM’ sequential, language-driven pipeline; B: LCM - multimodal concept integration: Multiple input types - text, image, audio, structured data - converge into a more complex processing core capable of extracting and reasoning over abstract, cross-modal concepts. The output is richer and reflects a broader understanding that spans diverse modalities. LLM: Large language model; LCM: Large concept model.
- Citation: Merchant SA, Merchant N, Varghese SL, Shaikh MJS. Large language models and large concept models in radiology: Present challenges, future directions, and critical perspectives. World J Radiol 2025; 17(11): 114754
- URL: https://www.wjgnet.com/1949-8470/full/v17/i11/114754.htm
- DOI: https://dx.doi.org/10.4329/wjr.v17.i11.114754