AIMC Topic: Aphasia
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Predicting the sources of impaired wh-question comprehension in non-fluent aphasia: A cross-linguistic machine learning study on Turkish and German.
Cognitive neuropsychology
Nov 15, 2017
This study investigates the comprehension of wh-questions in individuals with aphasia (IWA) speaking Turkish, a non-wh-movement language, and German, a wh-movement language. We examined six German-speaking and 11 Turkish-speaking IWA using picture-po...
ABCD: A Simulation Method for Accelerating Conversational Agents With Applications in Aphasia Therapy.
Journal of speech, language, and hearing research : JSLHR
Jul 8, 2025
PURPOSE: Development of aphasia therapies is limited by clinician shortages, patient recruitment challenges, and funding constraints. To address these barriers, we introduce (ABCD), a novel method for simulating goal-driven natural spoken dialogues ...
Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Aphasia, a language disorder primarily caused by a stroke, is traditionally diagnosed using behavioral language tests. However, these tests are time-consuming, require manual interpretation by trained clinicians, suffer from low ecological validity, ...
Digital Avatars and Personalized Voices-How AI Is Helping to Restore Speech to Patients.
JAMA
Apr 16, 2024
Interhemispheric connections in the maintenance of language performance and prognosis prediction: fully connected layer-based deep learning model analysis.
Neurosurgical focus
Jun 1, 2023
OBJECTIVE: Language-related networks have been recognized in functional maintenance, which has also been considered the mechanism of plasticity and reorganization in patients with cerebral malignant tumors. However, the role of interhemispheric conne...
Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Speech language pathologists need an accurate assessment of the severity of people with aphasia (PWA) to design and provide the best course of therapy. Currently, severity is evaluated manually by an increasingly scarce pool of experienced and well-t...
A data-driven approach to post-stroke aphasia classification and lesion-based prediction.
Brain : a journal of neurology
Jun 22, 2021
Aphasia is an acquired impairment in the production or comprehension of language, typically caused by left hemisphere stroke. The subtyping framework used in clinical aphasiology today is based on the Wernicke-Lichtheim model of aphasia formulated in...
Do all sub acute stroke patients benefit from robot-assisted therapy? A retrospective study.
Restorative neurology and neuroscience
Jan 1, 2015
PURPOSE: Upper limb robot-assisted rehabilitation is a highly intensive therapy, mainly recommended after stroke. Whether robotic therapy is suitable for subacute patients with severe impairments including cognitive disorders is unknown. This retrosp...
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