Background In recent years, artificial intelligence (AI) has become commonplace in our daily
lives, making its way into many different settings, including health and rehabilitation. While …

Recent years have seen a rapid increase in digital medicine research in an attempt to
transform traditional healthcare systems to their modern, intelligent, and versatile …

Spontaneous speech analysis plays an important role in the study and treatment of aphasia,
but can be difficult to perform manually due to the time consuming nature of speech …

Speech is a critical biomarker for Huntington Disease (HD), with changes in speech
increasing in severity as the disease progresses. Speech analyses are currently conducted …

Aphasia is a common type of acquired language impairment resulting from dysfunction in
specific brain regions. Analysis of narrative spontaneous speech, eg, story-telling, is an …

Speech language pathologists rely on information spanning the layers of language, often
drawing from multiple layers (eg phonology & semantics) at once. Recent innovations in …

Anomia (word-finding difficulties) is the hallmark of aphasia, an acquired language disorder
most commonly caused by stroke. Assessment of speech performance using picture naming …

Despite recent advancements in Automatic Speech Recognition (ASR), its accuracy remains
low for pathological speech, thereby limiting AI-based healthcare interventions in such …

Post-stroke speech and language deficits (aphasia) significantly impact patients' quality of
life. Many with mild symptoms remain undiagnosed, and the majority do not receive the …

Purpose: To date, there are no automated tools for the identification and fine-grained
classification of paraphasias within discourse, the production of which is the hallmark …