Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening
Mild Cognitive Impairment is a critical early stage of cognitive decline that frequently precedes Alzheimer's disease, yet its automated detection from neuropsychological drawing tests remains fundamentally constrained by data scarcity, class imbalance, and diagnostic ambiguity near clinical boundaries. Existing methodologies attempt to bypass these constraints using computationally expensive, fully fine-tuned hybrid architectures that relegate spatial explainability to a post-hoc approximation
Record details
Published: 16 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Healthcare · Transparency
Retrieved: 18 July 2026
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ethics.ai (16 July 2026), “Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening,” evidence record 11601, https://ethics.ai/record/11601 (originally published by arXiv cs.AI).
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