Latest AI and machine learning research in anemia for healthcare professionals.
Bottom-up models of functionally relevant patterns of neural activity provide an explicit link betwe...
Hypoxic ischemic encephalopathy (HIE) is a major global cause of neonatal death and lifelong disabil...
BACKGROUND AND OBJECTIVE: Prenatal fetal monitoring, which can monitor the growth and health of the ...
A prolonged period of cognitive performance often leads to mental fatigue, a psychobiological state ...
BACKGROUND: According to the WHO, anemia is a highly prevalent disease, especially for patients in t...
It is of great practical and theoretical significance to identify driver fatigue state in real time ...
Sickle Cell Anemia (SCA) is a disorder in Red Blood Cells (RBCs) of human blood. Children under five...
BACKGROUND: More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per ...
Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of which i...
Measuring trust is an important element of effective human-robot collaborations (HRCs). It has large...
This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in...
The growth and implementation of biofuels and bioenergy conversion technologies play an important pa...
Among the IL-6 inhibitors, tocilizumab is the most widely used therapeutic option in patients with S...
In computational biology, the Protein Remote homology Detection technique (PRHD) has got undeniable ...
After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes)...
Blood pressure (BP) is a basic determinant for organ blood flow supply. Insufficient blood supply wi...
In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth re...
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and a...
BACKGROUND: Remote surgery social implementation necessitates achieving low latency and highly relia...
Data-driven models based on deep learning have led to tremendous breakthroughs in classical computer...
Radiation-induced immune suppression poses significant health challenges for millions of patients un...