Clinical applications of artificial intelligence and machine learning in children with cleft lip and palate—a systematic review
MZU Huqh, JY Abdullah, LS Wong… - International Journal of …, 2022 - mdpi.com
Objective: The objective of this systematic review was (a) to explore the current clinical
applications of AI/ML (Artificial intelligence and Machine learning) techniques in diagnosis …
applications of AI/ML (Artificial intelligence and Machine learning) techniques in diagnosis …
A survey on machine learning approaches for automatic detection of voice disorders
The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …
Automated detection of Parkinson's disease based on multiple types of sustained phonations using linear discriminant analysis and genetically optimized neural …
Objective: Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported
that most of PD patients have voice impairments. But these voice impairments are not …
that most of PD patients have voice impairments. But these voice impairments are not …
A deep learning based method for Parkinson's disease detection using dynamic features of speech
C Quan, K Ren, Z Luo - IEEE Access, 2021 - ieeexplore.ieee.org
Detection of voice changes in Parkinson's Disease (PD) patients would make it possible for
early detection and intervention before the onset of disabling physical symptoms. This study …
early detection and intervention before the onset of disabling physical symptoms. This study …
Early diagnosis of Parkinson's disease from multiple voice recordings by simultaneous sample and feature selection
Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported that more
than 90% of PD patients have voice impairments. Multiple types of voice recordings have …
than 90% of PD patients have voice impairments. Multiple types of voice recordings have …
End-to-end deep learning approach for Parkinson's disease detection from speech signals
C Quan, K Ren, Z Luo, Z Chen, Y Ling - Biocybernetics and Biomedical …, 2022 - Elsevier
More than 90% of patients with Parkinson's disease suffer from hypokinetic dysarthria. This
paper proposes a novel end-to-end deep learning model for Parkinson's disease detection …
paper proposes a novel end-to-end deep learning model for Parkinson's disease detection …
Communication impairment in Parkinson's disease: Impact of motor and cognitive symptoms on speech and language
KM Smith, DN Caplan - Brain and language, 2018 - Elsevier
Communication impairment is common in Parkinson's disease (PD) and may have both
motor speech control and cognitive-linguistic underpinnings. The neurobiology of …
motor speech control and cognitive-linguistic underpinnings. The neurobiology of …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
NeuroSpeech: An open-source software for Parkinson's speech analysis
JR Orozco-Arroyave, JC Vásquez-Correa… - Digital Signal …, 2018 - Elsevier
A new software for modeling pathological speech signals is presented in this paper. The
software is called NeuroSpeech. This software enables the analysis of pathological speech …
software is called NeuroSpeech. This software enables the analysis of pathological speech …
Analysis and detection of pathological voice using glottal source features
Automatic detection of voice pathology enables objective assessment and earlier
intervention for the diagnosis. This study provides a systematic analysis of glottal source …
intervention for the diagnosis. This study provides a systematic analysis of glottal source …