Latest AI and machine learning research in devices and vaccines for healthcare professionals.
PURPOSE: To evaluate the correspondence between output from a new artificial intelligence tool (AIT)...
This paper presents a memristor-based compute-in-memory hardware accelerator for on-chip training ...
Electronic health data concerning implantable medical devices (IMD) opens opportunities for dynamic ...
Introduction: Electrical impedance spectroscopy (EIS) has recently developed as a novel diagnostic...
Mobile devices, especially smartphones, can support rich functions and have developed into indispe...
Convolutional Neural Networks (CNNs) have received substantial attention as a highly effective tool ...
Edge computing is a distributed computing paradigm that collects and processes data at or near the...
OBJECTIVES: To investigate the usefulness of super-resolution deep learning reconstruction (SR-DLR) ...
HYPOTHESIS: Here, we aim to 1) expand the available evidence for the use of machine learning techniq...
BACKGROUND: Stent malapposition (SM) following percutaneous coronary intervention (PCI) for myocardi...
In clinical treatment, identifying potential adverse reactions of drugs can help assist doctors in...
A vaccine passport serves as documentary proof, providing passport holders with greater freedom wh...
Liver zonation is a fundamental characteristic of hepatocyte spatial heterogeneity, which is chall...
Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data stor...
On-device inference holds great potential for increased energy efficiency, responsiveness, and pri...
In this paper, we address a recent trend in robotic home appliances to include vision systems on p...
This demo presents a novel end-to-end framework that combines on-device large language models (LLM...
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosi...
Automated detection of infected insect cells is one of the crucial tasks in the field of recombinant...
Shoulder dislocations are the most common dislocations and there is a demand for a novel traction de...
Human Activity Recognition (HAR) field is rapidly growing and the classification of human activities...