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PROMISE-AD model uses AI to predict Alzheimer's disease progression with high accuracy

Researchers have developed PROMISE-AD, a novel survival framework designed to predict the progression of Alzheimer's disease. This framework utilizes a temporal Transformer to fuse various patient data points, including irregular visits and longitudinal changes, to estimate conversion risks. PROMISE-AD demonstrated strong performance in predicting transitions from cognitively normal to mild cognitive impairment, and from mild cognitive impairment to dementia, achieving competitive metrics like integrated Brier score and C-index. AI

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IMPACT Introduces a novel survival modeling approach for interpretable multi-horizon AD conversion risk estimates.

RANK_REASON Academic paper detailing a new survival framework for disease progression prediction.

Read on arXiv cs.AI →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 · Qing Lyu, Jeremy Hudson, Mohammad Kawas, Yuming Jiang, Chenyu You, Christopher T Whitlow ·

    PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking

    arXiv:2604.28055v1 Announce Type: cross Abstract: Individualized Alzheimer's disease (AD) progression prediction requires models that use irregular visits, account for censoring, avoid diagnostic leakage, and provide calibrated horizon risks. We propose PROgression-aware MultI-ho…

  2. arXiv cs.AI TIER_1 · Christopher T Whitlow ·

    PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking

    Individualized Alzheimer's disease (AD) progression prediction requires models that use irregular visits, account for censoring, avoid diagnostic leakage, and provide calibrated horizon risks. We propose PROgression-aware MultI-horizon Survival Estimation for Alzheimer's Disease …