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Artificial intelligence-based voice assessment of patients with Parkinson's disease off and on treatment: machine vs. deep-learning comparison
Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
Applications to augment patient care for Internal Medicine specialists: a position paper from the EFIM working group on telemedicine, innovative technologies & digital …
Telemedicine applications present virtually limitless prospects for innovating and enhancing
established and new models of patient care in the field of Internal Medicine. Although there …
established and new models of patient care in the field of Internal Medicine. Although there …
[HTML][HTML] Acoustic analysis and prediction of type 2 diabetes mellitus using smartphone-recorded voice segments
Objective To investigate the potential of voice analysis as a prescreening or monitoring tool
for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings …
for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings …
IoMT: A medical resource management system using edge empowered blockchain federated learning
As data sharing on the Internet of Medical Things (IoMT) become more complicated, the
problems of divergent interests, unregulated policies, privacy and security, and the resource …
problems of divergent interests, unregulated policies, privacy and security, and the resource …
High-level CNN and machine learning methods for speaker recognition
G Costantini, V Cesarini, E Brenna - Sensors, 2023 - mdpi.com
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving
structurally different methodologies such as Deep Learning or “traditional” Machine …
structurally different methodologies such as Deep Learning or “traditional” Machine …
Mouth sounds: A review of Acoustic Applications and methodologies
NE Naal-Ruiz, EA Gonzalez-Rodriguez… - Applied Sciences, 2023 - mdpi.com
Mouth sounds serve several purposes, from the clinical diagnosis of diseases to emotional
recognition. The following review aims to synthesize and discuss the different methods to …
recognition. The following review aims to synthesize and discuss the different methods to …
[HTML][HTML] Voice disorder multi-class classification for the distinction of Parkinson's disease and adductor spasmodic dysphonia
Parkinson's Disease and Adductor-type Spasmodic Dysphonia are two neurological
disorders that greatly decrease the quality of life of millions of patients worldwide. Despite …
disorders that greatly decrease the quality of life of millions of patients worldwide. Despite …
Sound as a bell: a deep learning approach for health status classification through speech acoustic biomarkers
Y Wang, H Wang, Z Li, H Zhang, L Yang, J Li, Z Tang… - Chinese Medicine, 2024 - Springer
Background Human health is a complex, dynamic concept encompassing a spectrum of
states influenced by genetic, environmental, physiological, and psychological factors …
states influenced by genetic, environmental, physiological, and psychological factors …
A hard knowledge regularization method with probability difference in thorax disease images
The computer-aided thorax disease diagnosis suffers from the existing noisy labels in large-
scale datasets. Especially, the fine-grained thorax images also show high inter-similarity …
scale datasets. Especially, the fine-grained thorax images also show high inter-similarity …
Acoustic analysis in stuttering: a machine-learning study
Background Stuttering is a childhood-onset neurodevelopmental disorder affecting speech
fluency. The diagnosis and clinical management of stuttering is currently based on …
fluency. The diagnosis and clinical management of stuttering is currently based on …