Author(s) :

Abhinav Sirigineedi.

Volume/Issue :

Abstract :

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia, posing a significant global health challenge due to the difficulties of early diagnosis and the absence of a cure. This paper explores the transformative potential and associated risks of integrating artificial intelligence (AI) into the diagnosis, treatment, and monitoring of AD. The main findings indicate that AI tools, such as neuroimaging analysis and speech pattern recognition, enable significantly earlier and more accurate detection, while also paving the way for personalized treatment plans and remote patient monitoring. However, the review also concludes that these benefits are tempered by substantial ethical and practical concerns, including data privacy, algorithmic bias, and the necessity for human oversight, underscoring the need for responsible implementation.