Point-of-care diagnostics for infectious diseases: From methods to devices
C Wang, M Liu, Z Wang, S Li, Y Deng, N He - Nano Today, 2021 - Elsevier
The current widespread of COVID-19 all over the world, which is caused by SARS-CoV-2
virus, has again emphasized the importance of development of point-of-care (POC) …
virus, has again emphasized the importance of development of point-of-care (POC) …
X-ray computed tomography in life sciences
Recent developments within micro-computed tomography (μCT) imaging have combined to
extend our capacity to image tissue in three (3D) and four (4D) dimensions at micron and …
extend our capacity to image tissue in three (3D) and four (4D) dimensions at micron and …
An effective training scheme for deep neural network in edge computing enabled Internet of medical things (IoMT) systems
At present times, the real-time requirement on the multiaccess healthcare monitoring system,
information mining, and efficient disease diagnosis of health conditions is a difficult process …
information mining, and efficient disease diagnosis of health conditions is a difficult process …
Hardware implementation of deep network accelerators towards healthcare and biomedical applications
The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors
has brought on new opportunities for applying both Deep and Spiking Neural Network …
has brought on new opportunities for applying both Deep and Spiking Neural Network …
Physician perspectives on integration of artificial intelligence into diagnostic pathology
Advancements in computer vision and artificial intelligence (AI) carry the potential to make
significant contributions to health care, particularly in diagnostic specialties such as …
significant contributions to health care, particularly in diagnostic specialties such as …
Wearable IoT smart-log patch: An edge computing-based Bayesian deep learning network system for multi access physical monitoring system
According to the survey on various health centres, smart log-based multi access physical
monitoring system determines the health conditions of humans and their associated …
monitoring system determines the health conditions of humans and their associated …
Three-dimensional modeling of human neurodegeneration: brain organoids coming of age
K Grenier, J Kao, P Diamandis - Molecular psychiatry, 2020 - nature.com
The prevalence of dementia and other neurodegenerative diseases is rapidly increasing in
aging nations. These relentless and progressive diseases remain largely without disease …
aging nations. These relentless and progressive diseases remain largely without disease …
[HTML][HTML] Efficiency of computer-aided facial phenotyping (DeepGestalt) in individuals with and without a genetic syndrome: diagnostic accuracy study
JT Pantel, N Hajjir, M Danyel, J Elsner… - Journal of medical …, 2020 - jmir.org
Background Collectively, an estimated 5% of the population have a genetic disease. Many
of them feature characteristics that can be detected by facial phenotyping. Face2Gene …
of them feature characteristics that can be detected by facial phenotyping. Face2Gene …
Pilot study: application of artificial intelligence for detecting left atrial enlargement on canine thoracic radiographs
Although deep learning has been explored extensively for computer‐aided medical imaging
diagnosis in human medicine, very little has been done in veterinary medicine. The goal of …
diagnosis in human medicine, very little has been done in veterinary medicine. The goal of …
Diagnostic modalities in critical care: point-of-care approach
S Rajsic, R Breitkopf, M Bachler, B Treml - Diagnostics, 2021 - mdpi.com
The concept of intensive care units (ICU) has existed for almost 70 years, with outstanding
development progress in the last decades. Multidisciplinary care of critically ill patients has …
development progress in the last decades. Multidisciplinary care of critically ill patients has …