Overview of the LLM-MMS: global validation, robustness assessment, and generation framework. (IMAGE)

Beijing Institute of Technology Press Co., Ltd

Overview of the LLM-MMS: global validation, robustness assessment, and generation framework.

Caption

Panel A summarizes the global validation, robustness, and clinical utility evaluation of LLM-MMS across 9 large longitudinal cohorts (total n = 770,439). Panel B illustrates the LLM-MMS generation pipeline: harmonized structured inputs (demographics, lifestyle, examinations, biomarkers, and medical history) are converted into standardized English natural-language clinical reports through unified dictionary mapping with hallucination control, followed by prompt-based learning (no fine-tuning) and chain-of-thought prompting to generate phenotypes including overall biological age, system-specific biological ages, frailty age, and multidimensional health gradings.

Credit

Jinghao Liang, Guangzhou Medical University.

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