Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …

Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …

The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

Background: Alzheimer's disease (AD) has paramount importance due to its rising
prevalence, the impact on the patient and society, and the related healthcare costs …

Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …

Current methods for early diagnosis of Alzheimer's Dementia include structured
questionnaires, structured interviews, and various cognitive tests. Language difficulties are a …

The World Health Organization estimates that 50 million people are currently living with
dementia worldwide and this figure will almost triple by 2050. Current pharmacological …

Alzheimer's disease (AD) has a long pre-clinical period, and so there is a crucial need for
early detection, including of Mild Cognitive Impairment (MCI). Computational analysis of …

Introduction The depiction of features in discourse production promotes accurate diagnosis
and helps to establish the therapeutic intervention in cognitive impairment and dementia …

Abstract Aims and Objectives The objective of this scoping review is to explore the types and
mechanisms of Artificial intelligence (AI) techniques for detecting mild cognitive impairment …