Radiomics and machine learning in oral healthcare
AF Leite, KF Vasconcelos, H Willems… - PROTEOMICS …, 2020 - Wiley Online Library
The increasing storage of information, data, and forms of knowledge has led to the
development of new technologies that can help to accomplish complex tasks in different …
development of new technologies that can help to accomplish complex tasks in different …
A review of algorithm & hardware design for AI-based biomedical applications
Y Wei, J Zhou, Y Wang, Y Liu, Q Liu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This paper reviews the state of the arts and trends of the AI-Based biomedical processing
algorithms and hardware. The algorithms and hardware for different biomedical applications …
algorithms and hardware. The algorithms and hardware for different biomedical applications …
Advances in non-invasive blood pressure measurement techniques
Hypertension, or elevated blood pressure (BP), is a marker for many cardiovascular
diseases and can lead to life threatening conditions such as heart failure, coronary artery …
diseases and can lead to life threatening conditions such as heart failure, coronary artery …
Survey and evaluation of hypertension machine learning research
Background Machine learning (ML) is pervasive in all fields of research, from automating
tasks to complex decision‐making. However, applications in different specialities are …
tasks to complex decision‐making. However, applications in different specialities are …
Covid-19 recognition from cough sounds using lightweight separable-quadratic convolutional network
M Soltanian, K Borna - Biomedical Signal Processing and Control, 2022 - Elsevier
Automatic classification of cough data can play a vital role in early detection of Covid-19.
Lots of Covid-19 symptoms are somehow related to the human respiratory system, which …
Lots of Covid-19 symptoms are somehow related to the human respiratory system, which …
Blood pressure estimation from korotkoff sound signals using an end-to-end deep-learning-based algorithm
While measurement of blood pressure (BP) is now widely carried out by automated
noninvasive BP (NIBP) monitoring devices, as they do not require skilled clinicians and do …
noninvasive BP (NIBP) monitoring devices, as they do not require skilled clinicians and do …
Artificial intelligence based blood pressure estimation from auscultatory and oscillometric waveforms: a methodological review
Cardiovascular disease is known as the number one cause of death globally, with elevated
blood pressure (BP) being the single largest risk factor. Hence, BP is an important …
blood pressure (BP) being the single largest risk factor. Hence, BP is an important …
Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives
K Qin, W Huang, T Zhang, S Tang - Artificial Intelligence Review, 2023 - Springer
Blood pressure (BP) estimation is one of the most popular and long-standing topics in health-
care monitoring area. The utilization of machine learning (ML) and deep learning (DL) for BP …
care monitoring area. The utilization of machine learning (ML) and deep learning (DL) for BP …
Preventing troublesome variability in clinical blood pressure measurement
The importance of accurate blood pressure (BP) measurement is well-established. However,
there is little quantitative comparative data on the influence of different measurement …
there is little quantitative comparative data on the influence of different measurement …
Deep learning-based robust automatic non-invasive measurement of blood pressure using Korotkoff sounds
JH Chang, I Doh - Scientific Reports, 2021 - nature.com
This paper proposes a method that automatically measures non-invasive blood pressure
(BP) based on an auscultatory approach using Korotkoff sounds (K-sounds). There have …
(BP) based on an auscultatory approach using Korotkoff sounds (K-sounds). There have …