With the increase in large multimodal cohorts and high‐throughput technologies, the
potential for discovering novel biomarkers is no longer limited by data set size. Artificial …

The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

Purpose: Dementia from Alzheimer's disease (AD) is characterized primarily by a significant
decline in memory abilities; however, language abilities are also commonly affected and …

Research on bias in artificial intelligence has grown exponentially in recent years, especially
around racial bias. Many modern technologies which impact people's lives have been …

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 Approaches for objectively measuring facial expressions and speech may
enhance clinical and research evaluation in telemedicine, which is widely employed for …

Thoughts and moods constituting our mental life incessantly change. When the steady flow
of this dynamics diverges in clinical directions, the possible pathways involved are captured …

Background In the past few years there has been a growing interest in the employment of
verbal productions as digital biomarkers, namely objective, quantifiable behavioural data …

INTRODUCTION Verbal fluency tasks are common in Alzheimer's disease (AD)
assessments. Yet, standard valid response counts fail to reveal disease‐specific semantic …

INTRODUCTION A wide range of modifiable risk factors for dementia have been identified.
Considerable debate remains about these risk factors, possible interactions between them …