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LianYing Song on Muck Rack

LianYing Song

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Articles

An interpretable multimodal framework using compact biomarkers and Kolmogorov–Arnold networks improves the early diagnosis of Alzheimer’s disease

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By Yan Tang, Aiqing Han, Daiqing Tan, LianYing Song
| Nature Verified
Abstract Early diagnosis of Alzheimer’s disease (AD), especially accurate identification at the mild cognitive impairment (MCI) stage, is crucial for slowing disease progression. Although deep learning has achieved promising performance in AD diagnosis, existing multimodal models often operate as “black boxes,” lacking the transparency required for clinical practice and failing to explicitly model deep interactions between imaging and clinical features.
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