Longitudinal Boundary Sharpness Coefficient Slopes Predict Time to Alzheimer's Disease Conversion in Mild Cognitive Impairment: A Survival Analysis Using the ADNI Cohort

📰 ArXiv cs.AI

Longitudinal Boundary Sharpness Coefficient Slopes predict time to Alzheimer's disease conversion in mild cognitive impairment

advanced Published 30 Mar 2026

Action Steps

Measure Boundary Sharpness Coefficient (BSC) from structural MRI scans
Calculate longitudinal BSC slopes to assess boundary degradation over time
Apply survival analysis to predict time to Alzheimer's disease conversion in mild cognitive impairment patients
Validate results using the ADNI cohort dataset

Who Needs to Know This

Data scientists and AI engineers on a healthcare team can benefit from this research as it provides a new method for predicting Alzheimer's disease conversion, allowing for earlier intervention and more effective treatment planning.

Key Insight

💡 Longitudinal BSC slopes can predict time to Alzheimer's disease conversion, enabling earlier intervention and treatment planning