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[HTML][HTML] State-of-the-art deep learning methods on electrocardiogram data: systematic review
Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …
tools that can provide useful information regarding a patient's health status. Deep learning …
The use of deep learning software in the detection of voice disorders: A systematic review
J Barlow, Z Sragi, G Rivera‐Rivera… - … –Head and Neck …, 2024 - Wiley Online Library
Objective To summarize the use of deep learning in the detection of voice disorders using
acoustic and laryngoscopic input, compare specific neural networks in terms of accuracy …
acoustic and laryngoscopic input, compare specific neural networks in terms of accuracy …
[HTML][HTML] Deep learning application for vocal fold disease prediction through voice recognition: preliminary development study
HC Hu, SY Chang, CH Wang, KJ Li, HY Cho… - Journal of medical …, 2021 - jmir.org
Background Dysphonia influences the quality of life by interfering with communication.
However, a laryngoscopic examination is expensive and not readily accessible in primary …
However, a laryngoscopic examination is expensive and not readily accessible in primary …
Convergence of artificial intelligence and internet of things in smart healthcare: a case study of voice pathology detection
G Muhammad, M Alhussein - Ieee Access, 2021 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) and the Internet of Things (IoT) has tremendous
prospects in smart healthcare. The advancement of AI in the form of deep learning brought a …
prospects in smart healthcare. The advancement of AI in the form of deep learning brought a …
[HTML][HTML] Multi-modal voice pathology detection architecture based on deep and handcrafted feature fusion
Automatic voice pathology detection systems can effectively help clinicians by enabling
objective assessment and diagnosis in early stage of voice pathologies. This paper …
objective assessment and diagnosis in early stage of voice pathologies. This paper …
Develo** an artificial intelligence tool to predict vocal cord pathology in primary care settings
EC Compton, T Cruz, M Andreassen… - The …, 2023 - Wiley Online Library
Objectives Diagnostic tools for voice disorders are lacking for primary care physicians.
Artificial intelligence (AI) tools may add to the armamentarium for physicians, decreasing the …
Artificial intelligence (AI) tools may add to the armamentarium for physicians, decreasing the …
Voice pathology identification system using a deep learning approach based on unique feature selection sets
Voice pathology diagnosis requires extracting significant features from voice signals, and
classical machine learning models can overfit to the training data, which can cause difficult …
classical machine learning models can overfit to the training data, which can cause difficult …
[HTML][HTML] A comparison of data augmentation methods in voice pathology detection
To distinguish pathological voices from healthy voices, automatic voice pathology detection
systems can be built using machine learning (ML) and deep learning (DL) techniques. To …
systems can be built using machine learning (ML) and deep learning (DL) techniques. To …