Advancing Automated Imaging in Clinical Practice

This chapter explores the challenges and innovations in implementing automated imaging tools in clinical settings, specifically addressing variability in scanner models and image quality. It introduces the NeuroHarmony framework and its enhancements for harmonizing brain imaging data based on cognitive status, improving accuracy in assessing conditions like Alzheimer's disease.