AIMC Topic: Aphasia
Clear Filters Showing 11 to 15 of 15 articles
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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